Pei Chen
29 papers · 2020–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (6)
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Conference Polyglot
(11)
🏃
Academic Marathon
(5)
🧭
Keyword Pioneer
🧬
Topic Evolution
🔥
Unstoppable
(6)
🚀
Conference Pioneer
💎
Century Club
(22)
⚡
Prolific Year
(10)
🗃️
Keyword Collector
(113)
Conferences
ACL (11)
NAACL (5)
AAAI (3)
CVPR (2)
IJCAI (2)
AACL (1)
EACL (1)
ECCV (1)
EMNLP (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(8)
graph neural network
(3)
named entity recognition
(3)
catastrophic forgetting
(2)
curriculum learning
(2)
synthetic data generation
(2)
dependency relation
(2)
event extraction
(2)
multi-turn conversation
(2)
function calling
(2)
knowledge distillation
(2)
few-shot learning
(2)
direct preference optimization
(2)
entity extraction
(2)
coreference relation
(2)
attention mechanism
(1)
semantic segmentation
(1)
preference learning
(1)
zero-shot learning
(1)
contrastive learning
(1)
Papers
Instant Personalized Large Language Model Adaptation via Hypernetwork
ACL 2026
From Experts to Bases: Orthogonal Subspace Mixture for Continual Multimodal Instruction Tuning
ACL 2026
ThinkPersona: Thinking with Persona Graphs for Faithful Individualized Role-Playing
ACL 2026
IEvoAgent: Evolving Conversational Agent based on User Implicit Feedback
ACL 2026
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
ACL 2026
Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
ACL 2026
Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion
AAAI 2026
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
AAAI 2025
Intoner: For Chinese Poetry Intoning Synthesis
IJCAI 2025
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions
AAAI 2025
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
ACL 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
ACL 2025
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
EMNLP 2025
LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios
NAACL 2025
CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving
NAACL 2024
ItD: Large Language Models Can Teach Themselves Induction through Deduction
ACL 2024
Learning Object Consistency and Interaction in Image Generation from Scene Graphs
IJCAI 2023
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
NIPS 2023
Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition
NAACL 2022
TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes
ECCV 2022
DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations
CVPR 2022
Few-Shot Incremental Learning for Label-to-Image Translation
CVPR 2022
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition
ACL 2021
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition
IJCNLP 2021
Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents
EACL 2021
Reconstructing Event Regions for Event Extraction via Graph Attention Networks
AACL 2020