Chi-Min Chan
15 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (42) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (75)
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Prolific Year · Productive
🔥
Unstoppable · Bronze
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The Questioner
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(13)
Core AI
(12)
Machine Learning
(10)
Deep Learning
(7)
Learning Types · Machine Learning
(6)
Natural Language Processing
(4)
Learning Types · Deep Learning
(4)
Models
(4)
Applications
(3)
Optimization & Theory
(3)
Application Areas
(2)
Core Methods
(2)
Computer Vision
(1)
Robotics
(1)
Capabilities
(1)
Keywords
large language model
(5)
question answering
(2)
multi-agent system
(2)
parameter-efficient fine-tuning
(2)
model compression
(2)
reward model
(2)
pre-trained language model
(2)
video generation
(1)
hyperparameter optimization
(1)
zero-shot learning
(1)
knowledge unlearning
(1)
efficient computing
(1)
error detection
(1)
importance weighting
(1)
dialogue safety
(1)
visual reasoning
(1)
k-means clustering
(1)
monte carlo tree search
(1)
pre-trained model
(1)
fisher information matrix
(1)
Papers
Benchmarking Fine-Grained Error Detection in Multimodal Reasoning
ACL 2026
MoEActok: A MoE-based Action Tokenizer for Vision-Language-Action Models
CVPR 2026
Omni-RewardBench: Toward a Comprehensive Evaluation of Generative Reward Models Across Modalities
ACL 2026
SafeMT: Multi-turn Safety for Multimodal Language Models
ACL 2026
What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning
AAAI 2026
Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA
ACL 2025
Empowering World Models with Reflection for Embodied Video Prediction
ICML 2025
Graceful Forgetting in Generative Language Models
EMNLP 2025
Importance Weighting Can Help Large Language Models Self-Improve
AAAI 2025
PIP: Perturbation-based Iterative Pruning for Large Language Models
EMNLP 2025
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
ICLR 2024
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
ICLR 2024
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning
EMNLP 2023
Plug-and-Play Document Modules for Pre-trained Models
ACL 2023
On Transferability of Prompt Tuning for Natural Language Processing
NAACL 2022