← Authors

Jie Tang

136 papers · 2007–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (18) 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (24) 🏠 Conference Loyalist (40) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (50) πŸ‘₯ Mega-Team (35) πŸ”¬ Deep Specialist (22) 🧬 Topic Evolution πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (36) ❓ The Questioner (4) πŸ’Ž Century Club (132) πŸ—ƒοΈ Keyword Collector (62) πŸ”₯ Unstoppable (13) πŸ“ˆ Trend Setter

Conferences

ACL (40) NIPS (19) IJCAI (16) EMNLP (14) ICLR (12) AAAI (11) CVPR (7) ICML (6) ECCV (3) ICCV (3) IJCNLP (3) AACL (1) ACML (1)

Top co-authors

Yuxiao Dong (51) Xiao Liu (29) Ming Ding (26) Juanzi Li (25) Minlie Huang (17) Xiaotao Gu (15) Hongning Wang (13) Jifan Yu (13) Wenyi Hong (12) Jing Zhang (11)

Research topics

Education (5) Privacy (1) Probability (1)

Keywords

large language model (28) language model (10) benchmark evaluation (8) zero-shot learning (7) question answering (7) knowledge base (5) graph neural network (5) few-shot learning (5) transfer learning (5) reinforcement learning (4) natural language understanding (4) information retrieval (4) agent system (4) image super-resolution (4) text classification (4) knowledge graph (4) mathematical reasoning (4) information extraction (3) contrastive learning (3) instruction tuning (3)

Papers

Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement AAAI 2026
MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning AAAI 2026
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation AAAI 2026
UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge AAAI 2026
Dynamic Scaling of Unit Tests for Code Reward Modeling ACL 2025
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis ACL 2025
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025
A Survey of Post-Training Scaling in Large Language Models ACL 2025
AndroidGen: Building an Android Language Agent under Data Scarcity ACL 2025
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models ICML 2025
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling ICML 2025
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think ICML 2025
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs ICLR 2025
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents ACL 2025
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer ICLR 2025
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning ICLR 2025
In-the-wild Audio Spatialization with Flexible Text-guided Localization ACL 2025
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models ICLR 2025
Scaling Speech-Text Pre-training with Synthetic Interleaved Data ICLR 2025
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning ICLR 2025
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents ICLR 2025
Small Language Model Makes an Effective Long Text Extractor AAAI 2025
LVBench: An Extreme Long Video Understanding Benchmark ICCV 2025
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization ICCV 2025
Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models EMNLP 2025
CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution CVPR 2025
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models CVPR 2025
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning CVPR 2025
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators ACL 2025
SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling ACL 2025
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios ACL 2025
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models ACL 2025
LongSafety: Evaluating Long-Context Safety of Large Language Models ACL 2025
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search ACL 2025
AgentTuning: Enabling Generalized Agent Abilities for LLMs ACL 2024
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models NIPS 2024
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training NIPS 2024
Understanding Emergent Abilities of Language Models from the Loss Perspective NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024
Training Compute-Optimal Protein Language Models NIPS 2024
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation NIPS 2024
CogVLM: Visual Expert for Pretrained Language Models NIPS 2024
Benchmarking Complex Instruction-Following with Multiple Constraints Composition NIPS 2024
Sketch and Refine: Towards Fast and Accurate Lane Detection AAAI 2024
TriSampler: A Better Negative Sampling Principle for Dense Retrieval AAAI 2024
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding ACL 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024
AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking ACL 2024
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation ACL 2024
SafetyBench: Evaluating the Safety of Large Language Models ACL 2024
OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models ACL 2024
AutoRE: Document-Level Relation Extraction with Large Language Models ACL 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024
Bilateral Propagation Network for Depth Completion CVPR 2024
CogAgent: A Visual Language Model for GUI Agents CVPR 2024
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation ECCV 2024
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion ECCV 2024
Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer. ECCV 2024
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments EMNLP 2024
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering EMNLP 2024
CharacterGLM: Customizing Social Characters with Large Language Models EMNLP 2024
LongAlign: A Recipe for Long Context Alignment of Large Language Models EMNLP 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline EMNLP 2024
KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024
AgentBench: Evaluating LLMs as Agents ICLR 2024
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis ICLR 2024
Towards Efficient Exact Optimization of Language Model Alignment ICML 2024
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers ICLR 2023
GLM-130B: An Open Bilingual Pre-trained Model ICLR 2023
MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis AAAI 2023
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model ACL 2023
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method ACL 2023
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers EMNLP 2023
FFAEval: Evaluating Dialogue System via Free-For-All Ranking EMNLP 2023
Video Frame Interpolation with Densely Queried Bilateral Correlation IJCAI 2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation NIPS 2023
Robust Object Modeling for Visual Tracking ICCV 2023
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution AAAI 2023
BodyGAN: General-Purpose Controllable Neural Human Body Generation CVPR 2022
Parameter-Efficient Tuning Makes a Good Classification Head EMNLP 2022
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers NIPS 2022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos NIPS 2022
GLM: General Language Model Pretraining with Autoregressive Blank Infilling ACL 2022
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding ACL 2022
Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering ACL 2022
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning ACL 2022
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese ACL 2022
DeepStruct: Pretraining of Language Models for Structure Prediction ACL 2022
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking AAAI 2022
GACT: Activation Compressed Training for Generic Network Architectures ICML 2022
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NIPS 2021
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation EMNLP 2021
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees IJCAI 2021
CogView: Mastering Text-to-Image Generation via Transformers NIPS 2021
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis NIPS 2021
Adaptive Diffusion in Graph Neural Networks NIPS 2021
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs AACL 2020
CogLTX: Applying BERT to Long Texts NIPS 2020
Residual Feature Aggregation Network for Image Super-Resolution CVPR 2020
Blockwise Self-Attention for Long Document Understanding EMNLP 2020
Heterogeneous Network Representation Learning IJCAI 2020
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs ACL 2020
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices NIPS 2020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs NIPS 2020
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game ACL 2019
Cognitive Graph for Multi-Hop Reading Comprehension at Scale ACL 2019
Towards Knowledge-Based Recommender Dialog System EMNLP 2019
Network Embedding under Partial Monitoring for Evolving Networks IJCAI 2019
Towards Knowledge-Based Recommender Dialog System IJCNLP 2019
Understanding Dropouts in MOOCs AAAI 2019
ProNE: Fast and Scalable Network Representation Learning IJCAI 2019
Large Scale Evolving Graphs with Burst Detection IJCAI 2019
Bandit Learning with Implicit Feedback NIPS 2018
Weakly Learning to Match Experts in Online Community IJCAI 2018
Cross-Domain Depression Detection via Harvesting Social Media IJCAI 2018
Where Have You Been? Inferring Career Trajectory from Academic Social Network IJCAI 2018
Fast Randomized PCA for Sparse Data ACML 2018
Prerequisite Relation Learning for Concepts in MOOCs ACL 2017
Who to Invite Next? Predicting Invitees of Social Groups IJCAI 2017
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation IJCNLP 2017
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs IJCAI 2016
Uncovering the Formation of Triadic Closure in Social Networks IJCAI 2015
Learning Topic Hierarchies for Wikipedia Categories ACL 2015
Name List Only? Target Entity Disambiguation in Short Texts EMNLP 2015
Learning Topic Hierarchies for Wikipedia Categories IJCNLP 2015
On Modelling Non-linear Topical Dependencies ICML 2014
Boosting Cross-Lingual Knowledge Linking via Concept Annotation IJCAI 2013
Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia ACL 2013
What Users Care About: A Framework for Social Content Alignment IJCAI 2013
Social Influence Locality for Modeling Retweeting Behaviors IJCAI 2013
A Unified Tagging Approach to Text Normalization ACL 2007