Xiao Liu

144 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (17) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (12) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (34) 🤝 Dynamic Duo (28) 👥 Mega-Team (28) 👑 Triple Crown 🔬 Deep Specialist (21) 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam ❓ The Questioner (3) 💎 Century Club (141) 🚀 Conference Pioneer 🔥 Unstoppable (9) 📈 Trend Setter ⚡ Prolific Year (14) 🗃️ Keyword Collector (567)

Conferences

ACL (34) EMNLP (22) AAAI (15) CVPR (12) ICCV (11) NIPS (11) ECCV (8) ICLR (7) NAACL (6) ICML (5) IJCAI (5) COLING (2) IJCNLP (2) AUTOML (1) CORL (1) EACL (1) MICCAI (1)

Top co-authors

Jie Tang (29) Yuxiao Dong (24) Yansong Feng (17) Yeyun Gong (13) Minlie Huang (11) Dongyan Zhao (9) Jiale Cheng (9) Hanyu Lai (8) Yifan Xu (8) Xiaotao Gu (8)

Keywords

large language model (32) language model (9) zero-shot learning (9) benchmark evaluation (7) convolutional neural network (5) question answering (5) attention mechanism (5) multimodal learning (5) code generation (5) graph neural network (5) text generation (5) image restoration (4) extractive summarization (4) contrastive learning (4) few-shot learning (4) image generation (4) unsupervised learning (4) representation learning (4) relation extraction (4) information retrieval (4)

Papers

VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation AAAI 2026

How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective AAAI 2026

From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions AAAI 2026

Optimizing Large Language Model Training Using FP4 Quantization ICML 2025

Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning AAAI 2025

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection AAAI 2025

AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents ACL 2025

AndroidGen: Building an Android Language Agent under Data Scarcity ACL 2025

A Survey of Post-Training Scaling in Large Language Models ACL 2025

Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books ACL 2025

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025

EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models ACL 2025

Process-based Self-Rewarding Language Models ACL 2025

Degradation-Aware Feature Perturbation for All-in-One Image Restoration CVPR 2025

Teaching Your Models to Understand Code via Focal Preference Alignment EMNLP 2025

Recipe2Plan: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions EMNLP 2025

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery ICCV 2025

VPO: Aligning Text-to-Video Generation Models with Prompt Optimization ICCV 2025

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models ICLR 2025

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning ICLR 2025

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents ICLR 2025

Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling ICML 2025

EpiCoder: Encompassing Diversity and Complexity in Code Generation ICML 2025

RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition IJCAI 2025

AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis MICCAI 2025

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL 2025

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models EMNLP 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

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation ACL 2024

AgentTuning: Enabling Generalized Agent Abilities for LLMs ACL 2024

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024

Teaching Large Language Models an Unseen Language on the Fly ACL 2024

Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data ACL 2024

Competition-Level Problems are Effective LLM Evaluators ACL 2024

Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmark ACL 2024

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process ICML 2024

CASA: Causality-driven Argument Sufficiency Assessment NAACL 2024

Using Left and Right Brains Together: Towards Vision and Language Planning ICML 2024

Adaptive Visual Scene Understanding: Incremental Scene Graph Generation NIPS 2024

FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024

Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency NIPS 2024

Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? COLING 2024

Attack-Resilient Image Watermarking Using Stable Diffusion NIPS 2024

To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning NIPS 2024

Not All Tokens Are What You Need for Pretraining NIPS 2024

LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer ICLR 2024

AgentBench: Evaluating LLMs as Agents ICLR 2024

Multi-modal Relation Distillation for Unified 3D Representation Learning ECCV 2024

SemReg: Semantics Constrained Point Cloud Registration ECCV 2024

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models ECCV 2024

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline EMNLP 2024

QUDSELECT: Selective Decoding for Questions Under Discussion Parsing EMNLP 2024

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments EMNLP 2024

Attribute or Abstain: Large Language Models as Long Document Assistants EMNLP 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

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation EMNLP 2023

DiNeR: A Large Realistic Dataset for Evaluating Compositional Generalization EMNLP 2023

Extractive Summarization via ChatGPT for Faithful Summary Generation EMNLP 2023

Allies: Prompting Large Language Model with Beam Search EMNLP 2023

SummIt: Iterative Text Summarization via ChatGPT EMNLP 2023

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers EMNLP 2023

$α$-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation CORL 2023

Diffusion Models for Causal Discovery via Topological Ordering ICLR 2023

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation NIPS 2023

GLM-130B: An Open Bilingual Pre-trained Model ICLR 2023

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields ICCV 2023

Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches ICCV 2023

Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer ICCV 2023

DiffuSum: Generation Enhanced Extractive Summarization with Diffusion ACL 2023

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NIPS 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation NIPS 2023

Contrastive Hierarchical Discourse Graph for Scientific Document Summarization ACL 2023

Random Sub-Samples Generation for Self-Supervised Real Image Denoising ICCV 2023

How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension ACL 2023

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code ACL 2023

Boosting Event Extraction with Denoised Structure-to-Text Augmentation ACL 2023

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023

Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023

Syntax-Aware Network for Handwritten Mathematical Expression Recognition CVPR 2022

GLM: General Language Model Pretraining with Autoregressive Blank Infilling ACL 2022

Things not Written in Text: Exploring Spatial Commonsense from Visual Signals ACL 2022

Dynamic Prefix-Tuning for Generative Template-based Event Extraction ACL 2022

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022

DeepStruct: Pretraining of Language Models for Structure Prediction ACL 2022

Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis CVPR 2022

TransMVSNet: Global Context-Aware Multi-View Stereo Network With Transformers CVPR 2022

All-in-One Image Restoration for Unknown Corruption CVPR 2022

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition ECCV 2022

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment ECCV 2022

Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario EMNLP 2022

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models EMNLP 2022

HEGEL: Hypergraph Transformer for Long Document Summarization EMNLP 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022

AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning NIPS 2022

A Tree-Structured Multi-Task Model Recommender AUTOML 2022

ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing AAAI 2022

Dual-Channel Evidence Fusion for Fact Verification over Texts and Tables NAACL 2022

Geo-BERT Pre-training Model for Query Rewriting in POI Search EMNLP 2021

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation EMNLP 2021

SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space IJCNLP 2021

Learning with Noisy Correspondence for Cross-modal Matching NIPS 2021

SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space ACL 2021

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation ICCV 2021

Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis NAACL 2021

Using Noisy Self-Reports to Predict Twitter User Demographics NAACL 2021

ELSD: Efficient Line Segment Detector and Descriptor ICCV 2021

Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020

Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020

Dynamic Instance Normalization for Arbitrary Style Transfer AAAI 2020

Dialogue State Induction Using Neural Latent Variable Models IJCAI 2020

An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification ECCV 2020

TP-LSD: Tri-Points Based Line Segment Detector ECCV 2020

Neighborhood Matching Network for Entity Alignment ACL 2020

Jointly Learning Entity and Relation Representations for Entity Alignment IJCNLP 2019

BMN: Boundary-Matching Network for Temporal Action Proposal Generation ICCV 2019

Image Inpainting With Learnable Bidirectional Attention Maps ICCV 2019

A Soft Label Strategy for Target-Level Sentiment Classification NAACL 2019

STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing CVPR 2019

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NIPS 2019

Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs IJCAI 2019

DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing AAAI 2019

Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding AAAI 2019

Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 2019

StNet: Local and Global Spatial-Temporal Modeling for Action Recognition AAAI 2019

Open Domain Event Extraction Using Neural Latent Variable Models ACL 2019

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs IJCAI 2019

Jointly Learning Entity and Relation Representations for Entity Alignment EMNLP 2019

Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification CVPR 2018

Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation EMNLP 2018

Real-time Scholarly Retweeting Prediction System COLING 2018

Fine-grained Video Categorization with Redundancy Reduction Attention ECCV 2018

Kernel Pooling for Convolutional Neural Networks CVPR 2017

Deep Metric Learning With Angular Loss ICCV 2017

Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction EACL 2014

Semi-Supervised Coupled Dictionary Learning for Person Re-identification CVPR 2014

Weakly Supervised Multiclass Video Segmentation CVPR 2014

Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013

Semi-supervised Node Splitting for Random Forest Construction CVPR 2013