Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
Fuente:
arXiv
Saved in:
| Main Authors: | Jung, Jaehun, Brahman, Faeze, Choi, Yejin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
by: Jung, Jaehun, et al.
Published: (2023)
by: Jung, Jaehun, et al.
Published: (2023)
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
by: Yin, Da, et al.
Published: (2023)
by: Yin, Da, et al.
Published: (2023)
Information-Theoretic Distillation for Reference-less Summarization
by: Jung, Jaehun, et al.
Published: (2024)
by: Jung, Jaehun, et al.
Published: (2024)
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
by: Wang, Zhilin, et al.
Published: (2025)
by: Wang, Zhilin, et al.
Published: (2025)
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
by: Chen, Tong, et al.
Published: (2025)
by: Chen, Tong, et al.
Published: (2025)
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
by: Jung, Jaehun, et al.
Published: (2025)
by: Jung, Jaehun, et al.
Published: (2025)
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning
by: Brahman, Faeze, et al.
Published: (2023)
by: Brahman, Faeze, et al.
Published: (2023)
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
by: Seo, Wooseok, et al.
Published: (2025)
by: Seo, Wooseok, et al.
Published: (2025)
Affective and Dynamic Beam Search for Story Generation
by: Huang, Tenghao, et al.
Published: (2023)
by: Huang, Tenghao, et al.
Published: (2023)
RESTOR: Knowledge Recovery in Machine Unlearning
by: Rezaei, Keivan, et al.
Published: (2024)
by: Rezaei, Keivan, et al.
Published: (2024)
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
by: Xiao, Teng, et al.
Published: (2026)
by: Xiao, Teng, et al.
Published: (2026)
Quantitative LLM Judges
by: Sahoo, Aishwarya, et al.
Published: (2025)
by: Sahoo, Aishwarya, et al.
Published: (2025)
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
by: Chen, Tong, et al.
Published: (2025)
by: Chen, Tong, et al.
Published: (2025)
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning
by: Lu, Ximing, et al.
Published: (2025)
by: Lu, Ximing, et al.
Published: (2025)
Is Escalation Worth It? A Decision-Theoretic Characterization of LLM Cascades
by: Bouchard, Dylan
Published: (2026)
by: Bouchard, Dylan
Published: (2026)
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
by: Lim, Sehee, et al.
Published: (2024)
by: Lim, Sehee, et al.
Published: (2024)
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
by: Zhou, Yilun, et al.
Published: (2025)
by: Zhou, Yilun, et al.
Published: (2025)
Probabilistic Soundness Guarantees in LLM Reasoning Chains
by: You, Weiqiu, et al.
Published: (2025)
by: You, Weiqiu, et al.
Published: (2025)
One Token to Fool LLM-as-a-Judge
by: Zhao, Yulai, et al.
Published: (2025)
by: Zhao, Yulai, et al.
Published: (2025)
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, et al.
Published: (2025)
Cold-Start Personalization via Training-Free Priors from Structured World Models
by: Bose, Avinandan, et al.
Published: (2026)
by: Bose, Avinandan, et al.
Published: (2026)
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
by: Deng, Yuntian, et al.
Published: (2024)
by: Deng, Yuntian, et al.
Published: (2024)
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
by: Ethayarajh, Kawin, et al.
Published: (2021)
by: Ethayarajh, Kawin, et al.
Published: (2021)
JudgeBench: A Benchmark for Evaluating LLM-based Judges
by: Tan, Sijun, et al.
Published: (2024)
by: Tan, Sijun, et al.
Published: (2024)
Reinforcement Learning-based Knowledge Distillation with LLM-as-a-Judge
by: Shen, Yiyang, et al.
Published: (2026)
by: Shen, Yiyang, et al.
Published: (2026)
Detecting LLM-Generated Text with Performance Guarantees
by: Zhou, Hongyi, et al.
Published: (2026)
by: Zhou, Hongyi, et al.
Published: (2026)
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
by: Lee, Jaeyoung, et al.
Published: (2024)
by: Lee, Jaeyoung, et al.
Published: (2024)
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
by: Rao, Kavel, et al.
Published: (2023)
by: Rao, Kavel, et al.
Published: (2023)
Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection
by: Wei, Zhipeng, et al.
Published: (2024)
by: Wei, Zhipeng, et al.
Published: (2024)
DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
by: Chiu, Yu Ying, et al.
Published: (2024)
by: Chiu, Yu Ying, et al.
Published: (2024)
Augmenting Human Evaluation with LLM Judges: How Many Human Reviews Do You Need?
by: Kim, Jane Paik
Published: (2026)
by: Kim, Jane Paik
Published: (2026)
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
by: Mireshghallah, Niloofar, et al.
Published: (2024)
by: Mireshghallah, Niloofar, et al.
Published: (2024)
How to Correctly Report LLM-as-a-Judge Evaluations
by: Lee, Chungpa, et al.
Published: (2025)
by: Lee, Chungpa, et al.
Published: (2025)
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?
by: Hayase, Jonathan, et al.
Published: (2024)
by: Hayase, Jonathan, et al.
Published: (2024)
J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge
by: Chan, Chi-Min, et al.
Published: (2025)
by: Chan, Chi-Min, et al.
Published: (2025)
On Provable Length and Compositional Generalization
by: Ahuja, Kartik, et al.
Published: (2024)
by: Ahuja, Kartik, et al.
Published: (2024)
On Evaluating LLM Alignment by Evaluating LLMs as Judges
by: Liu, Yixin, et al.
Published: (2025)
by: Liu, Yixin, et al.
Published: (2025)
Investigating Non-Transitivity in LLM-as-a-Judge
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
AutoJudge: Judge Decoding Without Manual Annotation
by: Garipov, Roman, et al.
Published: (2025)
by: Garipov, Roman, et al.
Published: (2025)
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
by: Sclar, Melanie, et al.
Published: (2023)
by: Sclar, Melanie, et al.
Published: (2023)
Similar Items
-
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
by: Jung, Jaehun, et al.
Published: (2023) -
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
by: Yin, Da, et al.
Published: (2023) -
Information-Theoretic Distillation for Reference-less Summarization
by: Jung, Jaehun, et al.
Published: (2024) -
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
by: Wang, Zhilin, et al.
Published: (2025) -
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
by: Chen, Tong, et al.
Published: (2025)