Lichang Chen
20 papers · 2020–2026 · 8 venues · across top CS/AI venues
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large language model
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instruction tuning
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chain of thought
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Papers
MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
AAAI 2026
From Lists to Emojis: How Format Bias Affects Model Alignment
ACL 2025
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
ICLR 2025
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
AAAI 2025
AlpaGasus: Training a Better Alpaca with Fewer Data
ICLR 2024
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
NAACL 2024
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
ACL 2024
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
NAACL 2024
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
CVPR 2024
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
ICML 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF
ICML 2024
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
ECCV 2024
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
ACL 2024
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
CVPR 2024
Unbiased Watermark for Large Language Models
ICLR 2024
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
ACL 2024
How Many Demonstrations Do You Need for In-context Learning?
EMNLP 2023
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer
EMNLP 2023
Graph Edit Distance Reward: Learning to Edit Scene Graph
ECCV 2020