Hanning Zhang

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upvoted a paper 6 days ago

NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems

Paper • 2601.11004 • Published 11 days ago • 29

upvoted a paper 10 days ago

PRL: Process Reward Learning Improves LLMs' Reasoning Ability and Broadens the Reasoning Boundary

Paper • 2601.10201 • Published 12 days ago • 8

upvoted 3 papers 3 months ago

CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents

Paper • 2511.02734 • Published Nov 4, 2025 • 22

GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving

Paper • 2510.11769 • Published Oct 13, 2025 • 26

ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning

Paper • 2510.12693 • Published Oct 14, 2025 • 28

upvoted a paper 4 months ago

Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training

Paper • 2510.04996 • Published Oct 6, 2025 • 16

upvoted a paper 5 months ago

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3, 2025 • 23

upvoted a paper 6 months ago

Diversity-Enhanced Reasoning for Subjective Questions

Paper • 2507.20187 • Published Jul 27, 2025 • 26

upvoted 2 papers 9 months ago

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

Paper • 2505.02391 • Published May 5, 2025 • 25

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

Paper • 2504.13161 • Published Apr 17, 2025 • 93

upvoted a paper 11 months ago

Self-rewarding correction for mathematical reasoning

Paper • 2502.19613 • Published Feb 26, 2025 • 82

upvoted a collection about 1 year ago

RLHFlow MATH Process Reward Model

Collection

This is a collection of datasets and models of process reward modeling. • 15 items • Updated Nov 9, 2024 • 11