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Lichang Chen

20 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (5) 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (31)
πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (15) πŸ‘₯ Mega-Team (34) 🀝 Dynamic Duo (10) πŸ’Ž Century Club (19) ⚑ Prolific Year (12) πŸ—ƒοΈ Keyword Collector (51) ❓ The Questioner (2)

Conferences

ACL (4) ICLR (4) AAAI (2) CVPR (2) ECCV (2) EMNLP (2) ICML (2) NAACL (2)

Papers

MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence AAAI 2026 Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning AAAI 2025 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 Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection NAACL 2024 Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation CVPR 2024 Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements ACL 2024 Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning ACL 2024 HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models CVPR 2024 Prompting Language-Informed Distribution for Compositional Zero-Shot Learning ECCV 2024 Unbiased Watermark for Large Language Models ICLR 2024 AlpaGasus: Training a Better Alpaca with Fewer Data ICLR 2024 From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning NAACL 2024 Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection ACL 2024 InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models ICML 2024 ODIN: Disentangled Reward Mitigates Hacking in RLHF ICML 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