Cover Image

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Qiyuan, Wang, Yufei, YU, Tiezheng, Jiang, Yuxin, Wu, Chuhan, Li, Liangyou, Wang, Yasheng, Jiang, Xin, Shang, Lifeng, Tang, Ruiming, Lyu, Fuyuan, Ma, Chen
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
by: Zhang, Qiyuan, et al.
Published: (2025)

Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
by: Jiang, Yuxin, et al.
Published: (2024)

Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
by: Jiang, Yuxin, et al.
Published: (2025)

From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
by: Jiang, Yuxin, et al.
Published: (2026)

Learning to Edit: Aligning LLMs with Knowledge Editing
by: Jiang, Yuxin, et al.
Published: (2024)

MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
by: Kwan, Wai-Chung, et al.
Published: (2024)

ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
by: Zeng, Xingshan, et al.
Published: (2025)

ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
by: Wang, Zezhong, et al.
Published: (2024)

ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
by: Zeng, Xingshan, et al.
Published: (2026)

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning
by: Wang, Zezhong, et al.
Published: (2025)

Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
by: Wang, Zezhong, et al.
Published: (2024)

Entropy Law: The Story Behind Data Compression and LLM Performance
by: Yin, Mingjia, et al.
Published: (2024)

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
by: Jiang, Yuxin, et al.
Published: (2023)

ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
by: Zeng, Xingshan, et al.
Published: (2025)

Position: The Real Barrier to LLM Agent Usability is Agentic ROI
by: Liu, Weiwen, et al.
Published: (2025)

Performance Law of Large Language Models
by: Wu, Chuhan, et al.
Published: (2024)

Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework
by: Xu, Kaishuai, et al.
Published: (2025)

NILE: Internal Consistency Alignment in Large Language Models
by: Hu, Minda, et al.
Published: (2024)

PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play?
by: Zhou, Lingfeng, et al.
Published: (2025)

Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing
by: Xu, Kaishuai, et al.
Published: (2024)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
by: Huang, Xu, et al.
Published: (2025)

Collaborative Performance Prediction for Large Language Models
by: Zhang, Qiyuan, et al.
Published: (2024)

On the Dirichlet problem for the degenerate $k$-Hessian equation
by: Lyu, Yasheng
Published: (2025)

Remarks on the Pogorelov type estimate for the degenerate $k$-Hessian equation
by: Lyu, Yasheng
Published: (2026)

Second-order estimates for degenerate complex $k$-Hessian and Christoffel-Minkowski equations
by: Lyu, Yasheng
Published: (2026)

WESE: Weak Exploration to Strong Exploitation for LLM Agents
by: Huang, Xu, et al.
Published: (2024)

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)

M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
by: Kwan, Wai-Chung, et al.
Published: (2023)

Understanding the planning of LLM agents: A survey
by: Huang, Xu, et al.
Published: (2024)

Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
by: Wu, Jialin, et al.
Published: (2026)

ToolACE: Winning the Points of LLM Function Calling
by: Liu, Weiwen, et al.
Published: (2024)

Evaluating the External and Parametric Knowledge Fusion of Large Language Models
by: Zhang, Hao, et al.
Published: (2024)

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
by: Cai, Hongru, et al.
Published: (2026)

Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape
by: Li, Tao, et al.
Published: (2024)

Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
by: Dong, Kuicai, et al.
Published: (2025)

YODA: Teacher-Student Progressive Learning for Language Models
by: Lu, Jianqiao, et al.
Published: (2024)

EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing
by: Gao, Fan, et al.
Published: (2025)

A new proof of Hölder estimates for the gradient of quasilinear elliptic equations
by: Li, Dongsheng, et al.
Published: (2025)

ReviBranch: Deep Reinforcement Learning for Branch-and-Bound with Revived Trajectories
by: Jiabao, Dou, et al.
Published: (2025)

AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
by: Zhang, Tanghaoran, et al.
Published: (2026)