Tong Xu
55 papers · 2017–2026 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Conference Polyglot (11)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(10)
π§
Keyword Pioneer
π₯
Mega-Team
(21)
π§¬
Topic Evolution
π€
Dynamic Duo
(20)
ποΈ
Keyword Collector
(257)
β
The Questioner
β‘
Prolific Year
(11)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(47)
π₯
Unstoppable
(9)
Conferences
EMNLP (15)
AAAI (12)
ACL (11)
COLING (4)
IJCAI (4)
ICLR (2)
NIPS (2)
CVPR (1)
EACL (1)
IJCNLP (1)
JMLR (1)
RSS (1)
Top co-authors
Keywords
large language model
(15)
reinforcement learning
(4)
multimodal large language model
(4)
question answering
(4)
attention mechanism
(4)
knowledge graph
(3)
domain adaptation
(3)
retrieval-augmented generation
(3)
video understanding
(3)
language model
(2)
prompt learning
(2)
contrastive learning
(2)
efficient computing
(2)
vision-language model
(2)
multimodal learning
(2)
neural machine translation
(2)
sentiment classification
(2)
representation learning
(2)
model compression
(2)
machine translation
(2)
Papers
To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination
EACL 2026
Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
ACL 2026
VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit
ACL 2026
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning
AAAI 2026
How Foundational Skills Influence VLM-based Embodied Agents: A Native Perspective
AAAI 2026
PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering
ACL 2026
Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards
ACL 2026
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
ACL 2026
Verti-Bench: A General and Scalable Off-Road Mobility Benchmark for Vertically Challenging Terrain
RSS 2025
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models
JMLR 2025
iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation
ACL 2025
Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks
ACL 2025
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
ACL 2025
Multi-Branch Self-Drafting for LLM Inference Acceleration
AAAI 2025
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
CVPR 2025
Following Occamβs Razor: Dynamic Combination of Structured Knowledge for Multi-Hop Question Answering using LLMs
EMNLP 2025
From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
EMNLP 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing
EMNLP 2025
Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection
EMNLP 2025
MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval
COLING 2025
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
AAAI 2025
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
EMNLP 2024
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
NIPS 2024
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models
ACL 2024
MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction
COLING 2024
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
COLING 2024
QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks
COLING 2024
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
EMNLP 2024
In-Context Former: Lightning-fast Compressing Context for Large Language Model
EMNLP 2024
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition
EMNLP 2024
Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding
EMNLP 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
EMNLP 2024
Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision
AAAI 2023
Federated Nearest Neighbor Machine Translation
ICLR 2023
Simple and Scalable Nearest Neighbor Machine Translation
ICLR 2023
The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks
ACL 2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
ACL 2023
Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval
AAAI 2023
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
NIPS 2022
Non-Parametric Domain Adaptation for End-to-End Speech Translation
EMNLP 2022
VIRT: Improving Representation-based Text Matching via Virtual Interaction
EMNLP 2022
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
AAAI 2022
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
EMNLP 2022
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
AAAI 2022
Out-of-Town Recommendation with Travel Intention Modeling
AAAI 2021
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification
AAAI 2021
BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models
EMNLP 2020
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
IJCAI 2020
A Radical-Aware Attention-Based Model for Chinese Text Classification
AAAI 2019
Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification
EMNLP 2019
Trend-Aware Tensor Factorization for Job Skill Demand Analysis
IJCAI 2019
Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification
IJCNLP 2019
Regularizing Neural Machine Translation by Target-Bidirectional Agreement
AAAI 2019
A Joint Learning Approach to Intelligent Job Interview Assessment
IJCAI 2018
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective
IJCAI 2017