Xiao Liu
151 papers · 2013–2026 · 16 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 35 separate collaboration groups - the largest holds only 22% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Xiao Liu?
14 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jie Tang, Yuxiao Dong, Minlie Huang
33 papers
· 2021–2026
· ACL, EMNLP, ICLR
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Glyph: Scaling Context Windows via Visual-Text Compression
ACL 2026
KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks
ACL 2026
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
AAAI 2026
A Survey of Post-Training Scaling in Large Language Models
ACL 2025
AndroidGen: Building an Android Language Agent under Data Scarcity
ACL 2025
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents
ACL 2025
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
ACL 2025
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
ICLR 2025
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
ICCV 2025
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents
ICLR 2025
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
ICLR 2025
AgentBench: Evaluating LLMs as Agents
ICLR 2024
AgentTuning: Enabling Generalized Agent Abilities for LLMs
ACL 2024
AlignBench: Benchmarking Chinese Alignment of Large Language Models
ACL 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
EMNLP 2024
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
NeurIPS 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
ACL 2024
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
EMNLP 2024
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
ACL 2024
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
ACL 2024
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments
EMNLP 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries
ACL 2024
OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models
ACL 2024
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration
ACL 2024
SafetyBench: Evaluating the Safety of Large Language Models
ACL 2024
GLM-130B: An Open Bilingual Pre-trained Model
ICLR 2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
NeurIPS 2023
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
EMNLP 2023
DeepStruct: Pretraining of Language Models for Structure Prediction
ACL 2022
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
ACL 2022
IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models
EMNLP 2022
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
ACL 2022
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation
EMNLP 2021
21 papers whose co-authors appear nowhere else under this name
AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis
MICCAI 2025
Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery
ICCV 2025
RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition
IJCAI 2025
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
NeurIPS 2024
Attribute or Abstain: Large Language Models as Long Document Assistants
EMNLP 2024
Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?
COLING 2024
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning
IJCAI 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
ECCV 2024
Multi-modal Relation Distillation for Unified 3D Representation Learning
ECCV 2024
SemReg: Semantics Constrained Point Cloud Registration
ECCV 2024
$α$-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation
CoRL 2023
Diffusion Models for Causal Discovery via Topological Ordering
ICLR 2023
Imperceptible Adversarial Attack via Invertible Neural Networks
AAAI 2023
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
ICCV 2023
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
ECCV 2022
Geo-BERT Pre-training Model for Query Rewriting in POI Search
EMNLP 2021
SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space
ACL 2021
Using Noisy Self-Reports to Predict Twitter User Demographics
NAACL 2021
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract)
AAAI 2020
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
IJCAI 2019
Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction
EACL 2014