Xiao Wang
- Papers
- 37
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Authored papers
37AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
arXiv 2026
The Python Simulations of Chemistry Framework: 10 years of an open-source quantum chemistry project
arXiv 2026
Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models
arXiv 2026
REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
arXiv 2026
Implicit Neural Representation Facilitates Unified Universal Vision Encoding
arXiv 2026
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
arXiv 2025
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
arXiv 2025
ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queries
arXiv 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric
arXiv 2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
arXiv 2025
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
arXiv 2024
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
arXiv 2024
Secrets of RLHF in Large Language Models Part II: Reward Modeling
arXiv 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
arXiv 2024
MambaEVT: Event Stream based Visual Object Tracking using State Space Model
arXiv 2024
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
arXiv 2024
Aligning Large Language Models from Self-Reference AI Feedback with one General Principle
arXiv 2024
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
arXiv 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
arXiv 2024
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
arXiv 2024
On Large Language Model Continual Unlearning
arXiv 2024
InternLM-Law: An Open Source Chinese Legal Large Language Model
arXiv 2024
DocFusion: A Unified Framework for Document Parsing Tasks
arXiv 2024
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance
arXiv 2024
LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
arXiv 2023
Provable Training for Graph Contrastive Learning
provable-training-for-graph-contrastive
The Rise and Potential of Large Language Model Based Agents: A Survey
arXiv 2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
arXiv 2023
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
arXiv 2023
Orthogonal Subspace Learning for Language Model Continual Learning
arXiv 2023
Simple Open-Vocabulary Object Detection with Vision Transformers
arXiv 2022
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
arXiv 2022
LiT: Zero-Shot Transfer with Locked-image text Tuning
CVPR 2022 1
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
arXiv 2021
Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark
arXiv 2021
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
ICLR 2020 1
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