Skip to content
conftrace_

Tong Xu

55 papers · 2017–2026 · 11 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Jump to papers ↓
+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (116) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (25) 🧬 Topic Evolution 🧭 Keyword Pioneer πŸ‘₯ Mega-Team Β· Squad πŸ”¬ Deep Specialist (11) 🌈 Renaissance Researcher (8) πŸ”₯ Unstoppable Β· Silver ❓ The Questioner ⚑ Prolific Year Β· Prolific πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Silver πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (278)

Papers

How Foundational Skills Influence VLM-based Embodied Agents: A Native Perspective AAAI 2026 Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory ACL 2026 Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning AAAI 2026 Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data ACL 2026 Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards ACL 2026 PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering ACL 2026 SCoRe: Salience-Coverage Reduction for Vision Token Pruning in Vision-Language Models CVPR 2026 To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination EACL 2026 VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit ACL 2026 AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models ACL 2025 An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025 Following Occam’s 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 Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation AAAI 2025 iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation ACL 2025 MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval COLING 2025 Multi-Branch Self-Drafting for LLM Inference Acceleration AAAI 2025 Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks ACL 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 Verti-Bench: A General and Scalable Off-Road Mobility Benchmark for Vertically Challenging Terrain RSS 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis CVPR 2025 Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024 FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models EMNLP 2024 Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding EMNLP 2024 In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024 Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 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 VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation NeurIPS 2024 Visualization Recommendation with Prompt-based Reprogramming of Large Language Models ACL 2024 Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark ACL 2023 Federated Nearest Neighbor Machine Translation ICLR 2023 Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision AAAI 2023 Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval AAAI 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 FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NeurIPS 2022 GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction AAAI 2022 Non-Parametric Domain Adaptation for End-to-End Speech Translation 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 VIRT: Improving Representation-based Text Matching via Virtual Interaction EMNLP 2022 Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification AAAI 2021 Out-of-Town Recommendation with Travel Intention Modeling AAAI 2021 Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction IJCAI 2020 BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models EMNLP 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 Regularizing Neural Machine Translation by Target-Bidirectional Agreement AAAI 2019 Trend-Aware Tensor Factorization for Job Skill Demand Analysis IJCAI 2019 A Joint Learning Approach to Intelligent Job Interview Assessment IJCAI 2018 Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective IJCAI 2017