LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset | Paper Citation Record

Observation 2effee5e-3b1a-469e-ab4e-b6ceb4483d2f · inbound

Gemma 2: Improving Open Language Models at a Practical Size cites this paper.

Gemma 2: Improving Open Language Models at a Practical Size LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 157

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A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 221

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Why human-AI relationships need socioaffective alignment cites this paper.

Why human-AI relationships need socioaffective alignment LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 140

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Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons cites this paper.

Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 57

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DeepThink: Aligning Language Models with Domain-Specific User Intents cites this paper.

DeepThink: Aligning Language Models with Domain-Specific User Intents LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 36

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Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation cites this paper.

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 83

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Observation 3e0b9087-bfe8-4f2c-9952-e7c04eddacba · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 258

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Observation c4cd9c88-6cdc-4fae-9b56-94cb8f1d9c25 · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 92

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Observation c6d2e323-553a-4a23-93a9-e04446c795e0 · inbound

Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? cites this paper.

Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 24

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Observation ed9f3ccb-7d07-4760-9f1f-a91681384c04 · inbound

Understanding Refusal in Language Models with Sparse Autoencoders cites this paper.

Understanding Refusal in Language Models with Sparse Autoencoders LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 41

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Observation f8012669-c687-4e04-bcd1-2e755e7b2226 · inbound

Evaluating the Sensitivity of LLMs to Prior Context cites this paper.

Evaluating the Sensitivity of LLMs to Prior Context LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 42

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Observation da335835-1b20-4270-b1cf-b13241b3ddce · inbound

Is There a Case for Conversation Optimized Tokenizers in Large Language Models? cites this paper.

Is There a Case for Conversation Optimized Tokenizers in Large Language Models? LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 14

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Observation 0abfcd2f-2d7b-478b-bbc5-bb11e48aa632 · inbound

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models cites this paper.

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 38

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Toward Real-World Chinese Psychological Support Dialogues: CPsDD Dataset and a Co-Evolving Multi-Agent System cites this paper.

Toward Real-World Chinese Psychological Support Dialogues: CPsDD Dataset and a Co-Evolving Multi-Agent System LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 17

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Observation 5b6ae82e-cfdb-4b88-9e7a-44bffbe31c58 · inbound

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking cites this paper.

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 1

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DialogueForge: LLM Simulation of Human-Chatbot Dialogue cites this paper.

DialogueForge: LLM Simulation of Human-Chatbot Dialogue LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 41

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Observation c32e457e-1f38-4c65-82f6-c89a6e99597f · inbound

Sandwich: Joint Configuration Search and Hot-Switching for Efficient CPU LLM Serving cites this paper.

Sandwich: Joint Configuration Search and Hot-Switching for Efficient CPU LLM Serving LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:11:43.925414Z

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Observation f8c97b15-ea36-4309-aa4f-247547c64fa7 · inbound

TweakLLM: A Routing Architecture for Dynamic Tailoring of Cached Responses cites this paper.

TweakLLM: A Routing Architecture for Dynamic Tailoring of Cached Responses LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 13

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Improving Aviation Safety Analysis: Automated HFACS Classification Using Reinforcement Learning with Group Relative Policy Optimization cites this paper.

Improving Aviation Safety Analysis: Automated HFACS Classification Using Reinforcement Learning with Group Relative Policy Optimization LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 38

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Observation 54c6e2d0-3ba0-4a08-991e-f9b5024ae867 · inbound

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality cites this paper.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 81

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Observation 3d3bcbbc-6b1e-4427-ad7b-013492ec7d82 · inbound

A global log for medical AI cites this paper.

A global log for medical AI LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 2024

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Observation dae92762-4ad7-4c9c-99c5-c702302fdf50 · inbound

Auditing LLM Editorial Bias in News Media Exposure cites this paper.

Auditing LLM Editorial Bias in News Media Exposure LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 65

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Observation 4ce9a0ef-e085-4c78-b381-3f76bfa96a40 · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 19

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Observation ff790e81-bf4f-4b0b-bde0-13b7cff261b4 · inbound

SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on Superchips cites this paper.

SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on Superchips LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:30:17.992775Z

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Observation f5ea8733-0593-459e-8e5c-ad1d4d3b9c4b · inbound

Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads cites this paper.

Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:57:43.059960Z

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Observation e3db547c-5bb8-433f-b229-5906a2f411c6 · inbound

After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactions cites this paper.

After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactions LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 60

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Observation a78a4497-6545-43be-b3b7-67f239523d51 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 61

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Observation 73349bf9-63ce-4a28-8114-66623c7b2aa6 · inbound

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task cites this paper.

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:50:42.307474Z

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Comparative Characterization of KV Cache Management Strategies for LLM Inference cites this paper.

Comparative Characterization of KV Cache Management Strategies for LLM Inference LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 18

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Observation c2c02e52-d481-4252-8859-cfbdf556b776 · inbound

SAGE: A Service Agent Graph-guided Evaluation Benchmark cites this paper.

SAGE: A Service Agent Graph-guided Evaluation Benchmark LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:21:00.770684Z

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Observation a8124d55-4ee4-4600-992f-e1c2f9bbf22b · inbound

Flow-Controlled Scheduling for LLM Inference with Provable Stability Guarantees cites this paper.

Flow-Controlled Scheduling for LLM Inference with Provable Stability Guarantees LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:46:03.074337Z

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Observation 06e1ae6d-f76b-45ee-bbae-6977dfeb9721 · inbound

Predictive Multi-Tier Memory Management for KV Cache in Large-Scale GPU Inference cites this paper.

Predictive Multi-Tier Memory Management for KV Cache in Large-Scale GPU Inference LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:14:10.675111Z

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Observation 8af6b0a1-0440-407a-ac8c-0787d6bc7d14 · inbound

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning cites this paper.

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:26:29.131985Z

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Observation 6a0a145a-abb9-425f-8324-978da47229c3 · inbound

Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection cites this paper.

Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 2

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Observation 566b31c9-83b4-4ef5-adf4-d2e363b6a0e6 · inbound

Test-Time Speculation cites this paper.

Test-Time Speculation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 35

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Observation a9327a56-e889-4f02-8eb4-05e0b4f80b6b · inbound

Test-Time Speculation cites this paper.

Test-Time Speculation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:54:09.735662Z

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Observation 9ce70a6e-18cc-4d0d-895c-092c4f02924e · inbound

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs cites this paper.

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:56:31.247022Z

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Observation b369bc21-5b15-45ea-b392-c3f707031277 · inbound

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs cites this paper.

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 30

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Observation 23a62907-e910-45b2-bfd9-a07f43494416 · inbound

EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions cites this paper.

EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T16:24:55.257713Z

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Observation a87fd0d1-e197-4ae4-a778-e79ec488df0d · inbound

Kavier: Exploring Performance, Sustainability, and Efficiency of LLM Ecosystems under Inference through Cache-Aware Discrete-Event Simulation cites this paper.

Kavier: Exploring Performance, Sustainability, and Efficiency of LLM Ecosystems under Inference through Cache-Aware Discrete-Event Simulation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:34:04.628815Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a5cb03a-6ab2-42ea-87ad-7548f0c93755 · inbound

SeDT: Sentence-Transformer Decision-Transformer Conditioning for Multi-Turn Conversation Reliability cites this paper.

SeDT: Sentence-Transformer Decision-Transformer Conditioning for Multi-Turn Conversation Reliability LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:53:51.637982Z

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Observation b7946e74-caf9-4a54-b8c9-ede5257b5c3c · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:26.842915Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3627ec1-bdcb-477b-8c75-1362c5ef0ea1 · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:17:31.540635Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcc3d7fb-3f1c-4c74-8509-8c2d755597c5 · inbound

Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research cites this paper.

Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:28:18.896792Z

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Observation 9056253d-b644-4f96-b5ec-69c65c3b099d · inbound

AI Fiction in the Wild cites this paper.

AI Fiction in the Wild LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:09:15.759267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd51c28a-b12d-4c11-b952-c686e1c9d9e9 · inbound

Detecting and Controlling Sycophancy with Cascading Linear Features cites this paper.

Detecting and Controlling Sycophancy with Cascading Linear Features LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 20

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T15:49:57.092348Z

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Observation 8f59a3c9-dbaf-4528-912f-4e428514e134 · inbound

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization cites this paper.

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-26T01:28:50.489454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1d22051-0308-4266-a051-a2b5dae2e822 · inbound

Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution cites this paper.

Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:35:48.355521Z

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Observation 81ff348b-798b-41ed-977c-18c2823e3782 · inbound

KernelFlume: Elastic Core-Attention Scaling for Agentic Long-Context Decoding cites this paper.

KernelFlume: Elastic Core-Attention Scaling for Agentic Long-Context Decoding LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:04:14.246323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0718dd6e-a337-4eb6-9e03-0a78f7fc2e1f · inbound

The One-Word Census: Answer-Choice Conformity Across 44 Language Models cites this paper.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T06:23:49.144748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3222fcf7-dcc5-422f-80f5-6e7fafca8aec · inbound

Economic Evaluations of Language Models cites this paper.

Economic Evaluations of Language Models LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:06.015416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718a4ffc-6eed-4416-ada0-1ad21d066cc0 · inbound

RH-RAG: Trustworthy Long-Form Generation for Privacy-Constrained Settings cites this paper.

RH-RAG: Trustworthy Long-Form Generation for Privacy-Constrained Settings LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:46.403756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdef2cf6-f521-4abe-b227-83ae8c4a340d · inbound

Efficiency and Cost Alignment in Batched LLM Serving via Resource-Fair Scheduling cites this paper.

Efficiency and Cost Alignment in Batched LLM Serving via Resource-Fair Scheduling LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:03.201603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6031a77-6aa1-4056-adf4-b268e5de1dc9 · inbound

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement cites this paper.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.898632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers