CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search | Paper Citation Record

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This paper cites Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 , pages =.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 , pages =

Reference 1

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search 2024 , eprint=

Reference 2

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Chi and Quoc V

Reference 3

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 4

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Observation 69caee27-e8b0-4aaf-8927-9b1154364ff6 · outbound

This paper cites Passage Re-ranking with BERT.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Passage Re-ranking with BERT

Reference 5

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This paper cites Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages =.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages =

Reference 6

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Observation 27f4e0ad-0b7a-40dc-9d6f-4b1518c46764 · outbound

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Let s Verify Step by Step , url =

Reference 7

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Unresolved cited work

Reference 8

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Manning and Stefano Ermon and Chelsea Finn , editor =

Reference 9

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Observation 4ef16e48-5744-4bc6-82f1-8b3eb1566181 · outbound

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Unresolved cited work

Reference 10

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Observation 6aa091cb-9c9a-4d9a-9e81-b18778c3a151 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 11

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Observation 1c5203c7-f4c4-4c24-bb0b-35e3f4021720 · outbound

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Math-Shepherd: Verify and Reinforce LLM s Step-by-step without Human Annotations

Reference 12

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Observation 46e6efa6-e40f-4d41-91ff-9f5cbd2d2cae · outbound

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 13

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Observation 5074e0ea-7a4d-4691-9f96-7453f58aca49 · outbound

This paper cites Qwen2.5 Technical Report.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Qwen2.5 Technical Report

Reference 14

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This paper cites 2025 , eprint=.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search 2025 , eprint=

Reference 15

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Observation 2e5b469d-7676-49a4-b606-4a33f4850fe3 · outbound

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 16

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Solving math word problems with process- and outcome-based feedback

Reference 17

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Observation 42bc5be8-eca2-420d-9cdb-c0ad8787567f · outbound

This paper cites Proceedings of the 42nd International Conference on Machine Learning , articleno =.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proceedings of the 42nd International Conference on Machine Learning , articleno =

Reference 18

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Observation 6c5c40bb-1287-4df1-9c04-27fc53e9bd56 · outbound

This paper cites Proximal Policy Optimization Algorithms.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proximal Policy Optimization Algorithms

Reference 19

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Observation d62dd556-9f0d-44a6-be09-4ac0af711ad7 · outbound

This paper cites Document Ranking with a Pretrained Sequence-to-Sequence Model.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 20

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This paper cites Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 21

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Observation 1aace8d5-3a27-436f-9b5b-5ac58331694e · outbound

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 22

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Observation 6eca9c53-481f-4d87-aa28-f2957f852e7b · outbound

This paper cites RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!

Reference 23

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Observation f612a84d-5aad-4312-b7de-c734fd9a55e8 · outbound

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Is C hat GPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 24

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Process Reinforcement through Implicit Rewards

Reference 25

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search 2026 , eprint=

Reference 26

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Large Language Models for Relevance Judgment in Product Search

Reference 27

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Towards Boosting LLM s-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting

Reference 28

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search 2025 , eprint=

Reference 29

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Large Language Models are Zero-Shot Reasoners , booktitle =

Reference 30

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Observation 52bde7cd-546e-4813-bc9f-425d157811fa · outbound

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search ReprBERT: Distilling

Reference 31

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =

Reference 32

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

Reference 33

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search ACM Trans

Reference 34

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels

Reference 35

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Le and Sergey Levine and Yi Ma , editor =

Reference 36

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 37

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Distilling the Knowledge in a Neural Network

Reference 38

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Pretrained Transformers for Text Ranking: BERT and Beyond

Reference 39

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Le and Ed H

Reference 40

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search 2022 , eprint=

Reference 41

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Rationale-Guided Distillation for E -Commerce Relevance Classification: Bridging Large Language Models and Lightweight Cross-Encoders

Reference 42

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search HybridFlow: A Flexible and Efficient RLHF Framework , url=

Reference 43

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CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search L lama F actory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 44

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Observation b010fb1d-5e51-49de-ade3-60a757802a8c · outbound

This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 45

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