Chenliang Li
59 papers · 2018–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(25)
π
Grand Slam
π¬
Deep Specialist
(13)
π§¬
Topic Evolution
π
Keyword Champion
(6)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(257)
π
Trend Setter
π
Century Club
(56)
π
Conference Pioneer
π₯
Unstoppable
(8)
Conferences
ACL (17)
EMNLP (9)
AAAI (6)
COLING (5)
IJCAI (5)
IJCNLP (5)
NIPS (3)
ICCV (2)
AACL (1)
AISTATS (1)
CORL (1)
ICLR (1)
ICML (1)
NAACL (1)
SEMEVAL (1)
Top co-authors
Keywords
multimodal learning
(6)
generative question answering
(6)
transfer learning
(5)
pre-trained language model
(4)
machine reading comprehension
(4)
graph neural network
(4)
inverse reinforcement learning
(4)
vision-language pre-training
(4)
large language model
(4)
text classification
(3)
visual representation
(3)
answer generation
(3)
propaganda detection
(3)
visual question answering
(3)
multimodal fusion
(3)
image captioning
(3)
document understanding
(2)
bayesian inference
(2)
representation learning
(2)
imitation learning
(2)
Papers
ProFuser: Progressive Fusion of Large Language Models
AAAI 2026
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
ACL 2026
MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding
ACL 2026
Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation
ACL 2025
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
AISTATS 2025
META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models
COLING 2025
Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision
ACL 2025
AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks
ACL 2025
Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment
ICLR 2025
Flow Matching Based Sequential Recommender Model
IJCAI 2025
Mitigating Language Confusion through Inference-time Intervention
COLING 2025
CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents
EMNLP 2025
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval
COLING 2024
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
EMNLP 2024
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
NIPS 2024
Dependency Structure-Enhanced Graph Attention Networks for Event Detection
AAAI 2024
SocialBench: Sociality Evaluation of Role-Playing Conversational Agents
ACL 2024
Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training
COLING 2024
Efficient Sparse Attention needs Adaptive Token Release
ACL 2024
Learning Trajectory-Word Alignments for Video-Language Tasks
ICCV 2023
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models
EMNLP 2023
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model
EMNLP 2023
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
NIPS 2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
ICML 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning
CORL 2023
Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph
ACL 2023
Transforming Visual Scene Graphs to Image Captions
ACL 2023
BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-Up Patch Summarization.
ICCV 2023
Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction
IJCAI 2022
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis
IJCAI 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
NIPS 2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
EMNLP 2022
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
EMNLP 2022
Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching
COLING 2022
StructuralLM: Structural Pre-training for Form Understanding
IJCNLP 2021
A Unified Pretraining Framework for Passage Ranking and Expansion
AAAI 2021
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning
ACL 2021
StructuralLM: Structural Pre-training for Form Understanding
ACL 2021
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction
ACL 2021
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion
ACL 2021
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation
IJCAI 2021
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning
IJCNLP 2021
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction
IJCNLP 2021
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion
IJCNLP 2021
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion
SEMEVAL 2021
CASE: Context-Aware Semantic Expansion
AAAI 2020
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks
AAAI 2020
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
EMNLP 2020
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
ACL 2020
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
ACL 2020
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
ACL 2020
UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database
AACL 2020
A Review-Driven Neural Model for Sequential Recommendation
IJCAI 2019
Incorporating External Knowledge into Machine Reading for Generative Question Answering
IJCNLP 2019
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
AAAI 2019
Incorporating External Knowledge into Machine Reading for Generative Question Answering
EMNLP 2019
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information
EMNLP 2018
A Deep Relevance Model for Zero-Shot Document Filtering
ACL 2018
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network
NAACL 2018