← Authors

Tong Yu

68 papers · 2014–2026 · 16 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (16) πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (34) 🧬 Topic Evolution πŸ”₯ Unstoppable (5) ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (269) πŸ’Ž Century Club (65)

Conferences

EMNLP (10) NAACL (9) ACL (7) NIPS (7) AAAI (6) ICLR (5) ICML (5) CVPR (4) COLING (3) EACL (3) JMLR (3) AISTATS (2) IJCAI (1) OSDI (1) UAI (1) WACV (1)

Top co-authors

Ruiyi Zhang (24) Sungchul Kim (23) Ryan A. Rossi (21) Junda Wu (18) Julian McAuley (14) Yu Xia (13) Handong Zhao (13) Jiuxiang Gu (13) Xiang Chen (12) Shuai Li (11)

Research topics

Education (1) Optimization & Theory (1)

Keywords

large language model (14) causal inference (7) question answering (4) few-shot learning (4) multimodal learning (4) retrieval-augmented generation (4) structural causal model (4) diffusion model (3) contrastive learning (3) interactive recommendation (3) named entity recognition (3) prompt tuning (3) multi-armed bandit (3) vision-language model (3) federated learning (3) multi-modal learning (2) active learning (2) instruction tuning (2) text summarization (2) posterior distribution (2)

Papers

A Survey on LLM-based Conversational User Simulation EACL 2026
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use AAAI 2026
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs EACL 2026
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes NAACL 2025
Numerical Pruning for Efficient Autoregressive Models AAAI 2025
From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025
Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025
GUI Agents: A Survey ACL 2025
Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models COLING 2025
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs COLING 2025
Federated Retrieval Augmented Generation for Multi-Product Question Answering COLING 2025
SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 2025
CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025
Image Difference Captioning via Adversarial Preference Optimization EMNLP 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles EMNLP 2025
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion EMNLP 2025
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models ICLR 2025
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding ICLR 2025
Fully Dynamic Embedding into $\ell_p$ Spaces ICML 2025
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation ICML 2025
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality ICML 2025
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering NAACL 2025
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval NAACL 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025
Understanding Writing Assistants for Scientific Figure Captions: A Thematic Analysis NAACL 2025
Extending Applications Safely and Efficiently OSDI 2025
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models WACV 2025
Editing Partially Observable Networks via Graph Diffusion Models ICML 2024
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NIPS 2024
Calibrating Reasoning in Language Models with Internal Consistency NIPS 2024
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024
Advancing Vision-Language Models with Adapter Ensemble Strategies EMNLP 2024
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning EACL 2024
Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances NAACL 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning NAACL 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ICLR 2024
Understanding Demonstration-based Learning from a Causal Perspective ACL 2023
Online Corrupted User Detection and Regret Minimization NIPS 2023
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs ICLR 2023
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length ICLR 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels NIPS 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NIPS 2023
Reinforced Approximate Exploratory Data Analysis AAAI 2023
Causal Discovery in Semi-Stationary Time Series NIPS 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models CVPR 2023
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets ACL 2023
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations EMNLP 2022
TiGAN: Text-Based Interactive Image Generation and Manipulation AAAI 2022
Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022
Few-Shot Class-Incremental Learning for Named Entity Recognition ACL 2022
Federated online clustering of bandits UAI 2022
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval CVPR 2022
Towards Language-Free Training for Text-to-Image Generation CVPR 2022
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention CVPR 2022
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020
Towards Hands-Free Visual Dialog Interactive Recommendation AAAI 2020
Scalable Thompson Sampling via Optimal Transport AISTATS 2019
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning NIPS 2019
Markov Chain Analysis of Noise and Restart in Stochastic Local Search IJCAI 2016
Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 JMLR 2015
Effective String Processing and Matching for Author Disambiguation JMLR 2014