ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning | Paper Citation Record

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Instruction Mining: Instruction Data Selection for Tuning Large Language Models

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning AlpaGasus: Training A Better Alpaca with Fewer Data

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Gonzalez, Ion Stoica, and Eric P

Reference 6

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Observation 38b34c33-d68c-45e9-82d4-fe5acae628c6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Training Verifiers to Solve Math Word Problems

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning OpenAssistant Conversations -- Democratizing Large Language Model Alignment

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 9

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Observation d19cb73e-99c9-457d-8ca2-b2062ac98757 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning MoDS: Model-oriented Data Selection for Instruction Tuning

Reference 12

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents

Reference 13

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Observation 0afdf0da-9178-4431-a175-d9d9be2f19e2 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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Observation 44fccc91-9124-415c-95c3-bb1a0a3d1e3f · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning The Llama 3 Herd of Models

Reference 18

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 21

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning LoRA: Low-Rank Adaptation of Large Language Models

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning o pf, Yannic Kilcher, Dimitri von R \

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Self-Alignment with Instruction Backtranslation

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Hashimoto

Reference 33

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning DoRA: Weight-Decomposed Low-Rank Adaptation

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models

Reference 40

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning GPT-4 Technical Report

Reference 43

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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Observation ed2ff7a4-8dc7-4b8c-bef3-32e57142fef8 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Evaluating Quality of Chatbots and Intelligent Conversational Agents

Reference 46

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 48

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Observation edbffcce-2a21-4322-abf6-f1115ea510ba · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Multi-turn Reinforcement Learning from Preference Human Feedback

Reference 49

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Reference 50

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano

Reference 51

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Observation 79ca3aab-10f8-4ea0-935a-c8fbb2c996d8 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Hashimoto

Reference 53

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Qwen2.5 Technical Report

Reference 54

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning A Survey on Data Selection for LLM Instruction Tuning

Reference 55

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 56

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:53:24.658131Z

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Observation bd1340cb-97d1-4b6e-bc8f-8c54e56c9c3e · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets

Reference 58

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 59

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Observation 5fd3280d-10e0-433e-9dcd-66cf22252cab · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better

Reference 60

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 61

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning

Reference 63

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Observation a55ba2e6-5896-4da2-86ab-3274ef4cccd2 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 64

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Observation af67aada-dfe9-4b87-8a61-8ba7da4a36f7 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Rethinking the Instruction Quality: LIFT is What You Need

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T16:53:23.926453Z

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Observation ed9c2741-f0de-4de8-b376-7a02339b05d9 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

Reference 66

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Observation 4688c757-0177-4528-9859-2c83033845bc · outbound

This paper cites an unresolved cited work.

ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 67

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Observation 8fede186-0f16-46d8-b3eb-bb6ea6e76840 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 68

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Observation 696361dc-556d-42ee-85c3-da78279a9671 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 69

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Observation 8c24506c-dd7e-481d-8394-c3e214f02e01 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 70

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Observation f03a0931-03e7-4063-ae9b-641bcf4cf1f3 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Reference 71

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Observation ce54a194-d112-4fe9-9bc9-fc77485275cd · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:53:25.104662Z

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Observation fbb7a8df-1644-4e7d-a778-05e9e2990d62 · outbound

This paper cites an unresolved cited work.

ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 73

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Observation 3077031c-8295-4a42-b6eb-cab432af6f20 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Unresolved cited work

Reference 74

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Observation ef8982e5-a11d-4dd9-8bdc-0e7582c7f687 · outbound

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning URL: " 'urlintro :=

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T16:53:24.064794Z

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ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning write newline

Reference 76

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Pith citing papers