RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models | Paper Citation Record

Observation 35378862-893b-4597-b95b-05288e3f5877 · outbound

This paper cites Large language models: A survey of their development, capabilities, and applications.Knowledge and Information Systems, pages 1–56, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Large language models: A survey of their development, capabilities, and applications.Knowledge and Information Systems, pages 1–56, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:47.731516Z

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Observation d7bbc86f-e931-45c9-8953-57ef7582e0ec · outbound

This paper cites Nlp for social good: A survey of challenges, opportunities, and responsible deployment.arXiv preprint arXiv:2505.22327, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Nlp for social good: A survey of challenges, opportunities, and responsible deployment.arXiv preprint arXiv:2505.22327, 2025

Reference 2

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Observation bb19e456-97f4-405b-aae1-7bae18f537a2 · outbound

This paper cites Current applications and challenges in large language models for patient care: a systematic review.Communications Medicine, 5(1):26, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Current applications and challenges in large language models for patient care: a systematic review.Communications Medicine, 5(1):26, 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:47.478778Z

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Observation 57b394cb-018e-46af-be82-05bfc3318205 · outbound

This paper cites A Survey on Large Language Models with some Insights on their Capabilities and Limitations.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 4

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Observation 44ab70e2-1c85-4c56-a568-e9ce0a935689 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023

Reference 5

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Observation 74c35b06-33bc-4769-a41d-ee2412b33a4e · outbound

This paper cites Reinforcement Learning Enhanced LLMs: A Survey.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 6

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Observation a381681a-455a-4ea2-9fb1-fabb69e82004 · outbound

This paper cites LLMs for Explainable AI: A Comprehensive Survey.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models LLMs for Explainable AI: A Comprehensive Survey

Reference 7

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Observation ba7746db-7ab2-49c0-9c0d-d2fe3e7f91eb · outbound

This paper cites Explainability for large language models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Explainability for large language models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:47.331458Z

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Observation ab4988a7-bbac-49a4-8d43-ae72784b60c7 · outbound

This paper cites Understand what llm needs: Dual preference alignment for retrieval-augmented generation.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Understand what llm needs: Dual preference alignment for retrieval-augmented generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:39.447414Z

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Observation 4f2b9230-9f4f-41fa-b65c-682f64177050 · outbound

This paper cites Chain of preference optimization: Improving chain-of-thought reasoning in llms.Advances in Neural Information Processing Systems, 37:333–356, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Chain of preference optimization: Improving chain-of-thought reasoning in llms.Advances in Neural Information Processing Systems, 37:333–356, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:39.545398Z

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Observation 5faf9fb3-54ce-4de8-99ab-631bf7637757 · outbound

This paper cites Context-DPO: Aligning Language Models for Context-Faithfulness.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Context-DPO: Aligning Language Models for Context-Faithfulness

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:39.613828Z

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Observation bb9969f1-74a8-4879-9709-705b98e488d6 · outbound

This paper cites PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:21:44.178173Z

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Observation 26010888-1271-453c-9889-bb799a52a1a3 · outbound

This paper cites Knowpo: Knowledge-aware preference optimization for controllable knowledge selection in retrieval- augmented language models.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Knowpo: Knowledge-aware preference optimization for controllable knowledge selection in retrieval- augmented language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:47.090260Z

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Observation 9d28fa35-cf80-4ed3-9bc1-053bd929396d · outbound

This paper cites Iterative reasoning preference optimization.Advances in Neural Information Processing Systems, 37:116617–116637, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Iterative reasoning preference optimization.Advances in Neural Information Processing Systems, 37:116617–116637, 2024

Reference 14

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Observation 903b4620-bbfa-4740-b989-c9aa6a4f3c2d · outbound

This paper cites Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning

Reference 15

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Observation a6cab298-93e4-432d-a3cd-31d582c665e6 · outbound

This paper cites Solving Maxwell's Equations.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Solving Maxwell's Equations

Reference 16

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Observation a9a06361-e0ee-4ac3-abe2-d72c8f9d7519 · outbound

This paper cites A Survey on Knowledge-Oriented Retrieval-Augmented Generation.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Knowledge-Oriented Retrieval-Augmented Generation

Reference 17

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Observation 23df82cc-59c2-4a25-bebe-450afeb4def6 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:40.284051Z

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Observation fa508398-e9cd-4894-bbe0-055d2e765f73 · outbound

This paper cites A Survey on Post-training of Large Language Models.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Post-training of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:40.383980Z

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Observation fdf48b54-8869-47c6-bf9a-03f922f803a9 · outbound

This paper cites A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications

Reference 20

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Observation 9b0ec985-fb2e-429e-bbeb-c23793eb36c8 · outbound

This paper cites MM-RLHF: The Next Step Forward in Multimodal LLM Alignment.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 21

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Observation 0204eac1-f9af-4dc2-881c-4b43e76c53fe · outbound

This paper cites Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models

Reference 22

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Observation 0434a918-f900-4b85-946d-c03d54180b4b · outbound

This paper cites RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation

Reference 23

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Observation 82e0992e-7473-4faf-b2b3-07506c9ccda4 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 24

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Observation 12271706-1c52-45c2-9b33-393f1be2538e · outbound

This paper cites Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF

Reference 25

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This paper cites an unresolved cited work.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:21:46.854469Z

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Observation bbe81107-5f30-4627-ad40-7fa6c65256cc · outbound

This paper cites Safer-Instruct: Aligning Language Models with Automated Preference Data.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Safer-Instruct: Aligning Language Models with Automated Preference Data

Reference 27

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Observation 710738de-a91c-4664-8a43-71f3c1dc08e5 · outbound

This paper cites Self-Boosting Large Language Models with Synthetic Preference Data.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Self-Boosting Large Language Models with Synthetic Preference Data

Reference 28

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Observation a28d5641-84b1-4e89-a0e7-5e53d514116e · outbound

This paper cites A comprehensive review of large language models: issues and solutions in learning environments.Discover Sustainability, 6(1):27, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A comprehensive review of large language models: issues and solutions in learning environments.Discover Sustainability, 6(1):27, 2025

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:46.524500Z

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Observation 148f7fa5-3df2-48f8-93f9-b611bc3a5f75 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:41.322841Z

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Observation cdf321d2-69d2-4864-8466-81151cfdede6 · outbound

This paper cites Zhang and J.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Zhang and J

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:46.337621Z

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Observation 3535564f-345b-4253-9118-ffd667784e46 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 32

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RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Unresolved cited work

Reference 33

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Observation 4a09417b-8f90-4f45-8b86-de503559f55b · outbound

This paper cites Wang and Y.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Wang and Y

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:45.870818Z

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Observation a92a8db8-8f5d-4ba3-9e81-588b0fa43f84 · outbound

This paper cites Feng and L.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Feng and L

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:45.725340Z

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Observation aedea759-c1d4-422f-bc74-d0649ca28f24 · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 36

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This paper cites Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Reference 37

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Observation a465f5ba-829c-4790-8c3e-56fc59df58af · outbound

This paper cites Enhancing chain of thought prompting in large language models via reasoning patterns.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Enhancing chain of thought prompting in large language models via reasoning patterns

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:45.550033Z

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Observation 09bcebd1-1f60-478e-90b7-79b246d1c87f · outbound

This paper cites Transformers Provably Solve Parity Efficiently with Chain of Thought.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Transformers Provably Solve Parity Efficiently with Chain of Thought

Reference 39

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Observation 43ec6d05-cebe-4146-a919-e602bba05855 · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Chain of Draft: Thinking Faster by Writing Less

Reference 40

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Observation 4f1fe121-7f15-46fa-906c-5d85df9b3985 · outbound

This paper cites Tool learning with large language models: A survey.Frontiers of Computer Science, 19(8):198343, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Tool learning with large language models: A survey.Frontiers of Computer Science, 19(8):198343, 2025

Reference 41

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Observation b3030e9e-68e9-480a-9bf1-70470f0c9d15 · outbound

This paper cites Making Large Language Models Better Reasoners with Alignment.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Making Large Language Models Better Reasoners with Alignment

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:42.079243Z

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Observation e9913d1b-478a-4d3d-b1c3-a4700efdfbb5 · outbound

This paper cites PORT: Preference Optimization on Reasoning Traces.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models PORT: Preference Optimization on Reasoning Traces

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:21:43.674287Z

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Observation e709ee68-ea43-4f99-907c-ab3a2df57a1d · outbound

This paper cites Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

Reference 44

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Observation 22ae8ed5-37c1-4c8a-95fe-75f8c167d131 · outbound

This paper cites Preference tree optimization: Enhancing goal- oriented dialogue with look-ahead simulations.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Preference tree optimization: Enhancing goal- oriented dialogue with look-ahead simulations

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:45.372913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f98649cf-13d2-4964-9fa3-e4f9334cfae4 · outbound

This paper cites Large language models in traditional chinese medicine: A scoping review.Journal of Evidence-Based Medicine, 18(1):e12658, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Large language models in traditional chinese medicine: A scoping review.Journal of Evidence-Based Medicine, 18(1):e12658, 2025

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:45.203522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06d4c3d7-50f9-45b8-aae0-cfddaa4ce002 · outbound

This paper cites Tcmchat: A generative large language model for traditional chinese medicine.Pharmacological Research, 210:107530, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Tcmchat: A generative large language model for traditional chinese medicine.Pharmacological Research, 210:107530, 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:45.046715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e99d14b3-39d3-4263-8b86-4882bb6c85ab · outbound

This paper cites Biancang: A traditional chinese medicine large language model.arXiv preprint arXiv:2411.11027, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Biancang: A traditional chinese medicine large language model.arXiv preprint arXiv:2411.11027, 2024

Reference 48

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:21:43.446236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17d4fd0d-80d0-4afe-b56d-8bcd6eb95937 · outbound

This paper cites Qibo: A Large Language Model for Traditional Chinese Medicine.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Qibo: A Large Language Model for Traditional Chinese Medicine

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:42.548438Z

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Observation 2ea30630-77fc-4016-a820-90eff300a36a · outbound

This paper cites Ai-powered lawyering: Ai reasoning models, retrieval augmented generation, and the future of legal practice.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Ai-powered lawyering: Ai reasoning models, retrieval augmented generation, and the future of legal practice

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:44.913465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 645540cd-f7b2-4593-be27-28e96ffafad7 · outbound

This paper cites A comprehensive review on financial explainable ai.Artificial Intelligence Review, 58(6):1–49, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A comprehensive review on financial explainable ai.Artificial Intelligence Review, 58(6):1–49, 2025

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:44.785971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0595f1a3-41d5-4292-913c-e2cba6ba271f · outbound

This paper cites Findings of the association for computational linguistics: Eacl 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Findings of the association for computational linguistics: Eacl 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:44.608922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 673dff5e-42c1-4845-97dc-2fade4c69f74 · outbound

This paper cites ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:42.818394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dfbdf6e-383e-4290-b84e-a2609ada25ee · outbound

This paper cites Shennong-tcm: A traditional chinese medicine large language model.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Shennong-tcm: A traditional chinese medicine large language model

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:21:44.433484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aada8a85-a2e7-412f-bb92-483f6a257300 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Rouge: A package for automatic evaluation of summaries

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:42.986811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f72547f-2c79-4385-95ec-873c5c2c23f2 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Bleu: a method for automatic evaluation of machine translation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:43.077882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

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