Chengming Li
24 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (55) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(16)
Artificial Intelligence
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Core AI
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Natural Language Processing
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Learning Types · Machine Learning
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Deep Learning
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Resources & Methods
(8)
Generation
(5)
Learning Types · Deep Learning
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Application Areas
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Reinforcement Learning
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Applications
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Methods
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Optimization & Theory · Deep Learning
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Optimization & Theory · Machine Learning
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Keywords
large language model
(8)
benchmark evaluation
(5)
reinforcement learning
(3)
knowledge distillation
(2)
knowledge editing
(2)
contrastive learning
(2)
neural network
(2)
parameter-efficient fine-tuning
(2)
chain of thought
(2)
meta learning
(2)
knowledge base
(2)
dialogue system
(2)
adversarial learning
(2)
attention mechanism
(1)
prototype learning
(1)
policy optimization
(1)
representation learning
(1)
federated learning
(1)
few-shot learning
(1)
commonsense knowledge
(1)
Papers
AT²PO: Agentic Turn-based Policy Optimization via Tree Search
ACL 2026
Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
AAAI 2026
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
ACL 2025
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
COLING 2025
Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation
EMNLP 2025
FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift
ICCV 2025
Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models
EMNLP 2025
Training on the Benchmark Is Not All You Need
AAAI 2025
CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment
COLING 2024
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
ACL 2024
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
ICLR 2024
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models
ACL 2024
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models
ACL 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
NeurIPS 2024
Layer-wise Regularized Dropout for Neural Language Models
COLING 2024
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property
COLING 2024
TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information
COLING 2024
Self-Distillation with Meta Learning for Knowledge Graph Completion
EMNLP 2022
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
AAAI 2021
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning
AAAI 2021
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning
AAAI 2021
Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training
EMNLP 2020
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization
AAAI 2020
Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning
COLING 2020