Lichang Chen

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authored a paper 2 months ago

Learning to Reason via Mixture-of-Thought for Logical Reasoning

Paper • 2505.15817 • Published May 21 • 18

authored a paper 5 months ago

Self-rewarding correction for mathematical reasoning

Paper • 2502.19613 • Published Feb 26 • 84

authored a paper 6 months ago

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities

Paper • 2410.12219 • Published Oct 16, 2024 • 1

authored a paper 10 months ago

RRM: Robust Reward Model Training Mitigates Reward Hacking

Paper • 2409.13156 • Published Sep 20, 2024 • 5

authored 3 papers 12 months ago

Unbiased Watermark for Large Language Models

Paper • 2310.10669 • Published Sep 22, 2023

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Paper • 2308.12032 • Published Aug 23, 2023 • 1

OPTune: Efficient Online Preference Tuning

Paper • 2406.07657 • Published Jun 11, 2024

authored a paper over 1 year ago

ODIN: Disentangled Reward Mitigates Hacking in RLHF

Paper • 2402.07319 • Published Feb 11, 2024 • 14

authored 3 papers almost 2 years ago

Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning

Paper • 2310.11716 • Published Oct 18, 2023 • 5

HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27

Virtual Prompt Injection for Instruction-Tuned Large Language Models

Paper • 2307.16888 • Published Jul 31, 2023 • 7

authored 2 papers about 2 years ago

AlpaGasus: Training A Better Alpaca with Fewer Data

Paper • 2307.08701 • Published Jul 17, 2023 • 23

InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models

Paper • 2306.03082 • Published Jun 5, 2023 • 5