Xuanjing Huang
- Papers
- 94
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Authored papers
94World Action Models: The Next Frontier in Embodied AI
arXiv 2026
AI Can Learn Scientific Taste
arXiv 2026
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges
arXiv 2026
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents
arXiv 2026
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
arXiv 2026
CL-bench: A Benchmark for Context Learning
arXiv 2026
Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
arXiv 2026
FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions
arXiv 2026
SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents
arXiv 2026
LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening
arXiv 2026
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment
arXiv 2026
AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems
arXiv 2026
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
arXiv 2026
CCTU: A Benchmark for Tool Use under Complex Constraints
arXiv 2026
OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions
arXiv 2026
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
arXiv 2026
Can Deep Research Agents Retrieve and Organize? Evaluating the Synthesis Gap with Expert Taxonomies
arXiv 2026
Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning
arXiv 2025
SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
arXiv 2025
WorldPM: Scaling Human Preference Modeling
arXiv 2025
Thus Spake Long-Context Large Language Model
arXiv 2025
A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
arXiv 2025
EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation
arXiv 2025
Better Process Supervision with Bi-directional Rewarding Signals
arXiv 2025
Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction
arXiv 2025
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
arXiv 2025
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
arXiv 2025
Pre-Trained Policy Discriminators are General Reward Models
arXiv 2025
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
arXiv 2025
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?
arXiv 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric
arXiv 2025
EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
arXiv 2025
Multi-hop Reasoning via Early Knowledge Alignment
arXiv 2025
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
arXiv 2025
Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction
arXiv 2025
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
arXiv 2025
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
arXiv 2025
Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning
arXiv 2025
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
arXiv 2024
Searching for Best Practices in Retrieval-Augmented Generation
arXiv 2024
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
arXiv 2024
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
arXiv 2024
Length Generalization of Causal Transformers without Position Encoding
arXiv 2024
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
arXiv 2024
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
arXiv 2024
Multi-Programming Language Sandbox for LLMs
arXiv 2024
Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders
arXiv 2024
Cross-Modality Safety Alignment
arXiv 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
arXiv 2024
LongHeads: Multi-Head Attention is Secretly a Long Context Processor
arXiv 2024
MouSi: Poly-Visual-Expert Vision-Language Models
arXiv 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
arXiv 2024
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
arXiv 2024
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
arXiv 2024
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
arXiv 2024
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
arXiv 2024
ALaRM: Align Language Models via Hierarchical Rewards Modeling
arXiv 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
arXiv 2024
Case2Code: Learning Inductive Reasoning with Synthetic Data
arXiv 2024
F-Eval: Assessing Fundamental Abilities with Refined Evaluation Methods
arXiv 2024
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
arXiv 2024
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance
arXiv 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
arXiv 2024
Secrets of RLHF in Large Language Models Part II: Reward Modeling
arXiv 2024
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
arXiv 2024
VLSBench: Unveiling Visual Leakage in Multimodal Safety
arXiv 2024
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model
arXiv 2024
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
arXiv 2024
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
arXiv 2024
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
arXiv 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
arXiv 2024
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
arXiv 2024
Are Large Language Models Good Prompt Optimizers?
arXiv 2024
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning
arXiv 2023
LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
arXiv 2023
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
arXiv 2023
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
arXiv 2023
The Rise and Potential of Large Language Model Based Agents: A Survey
arXiv 2023
Do Large Language Models Know What They Don't Know?
arXiv 2023
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
arXiv 2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
arXiv 2023
Aligning Large Language Models with Human Preferences through Representation Engineering
arXiv 2023
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication
arXiv 2023
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
arXiv 2023
From Hypergraph Energy Functions to Hypergraph Neural Networks
arXiv 2023
Orthogonal Subspace Learning for Language Model Continual Learning
arXiv 2023
CoNT: Contrastive Neural Text Generation
arXiv 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
arXiv 2022
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
arXiv 2022
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
NAACL 2022 7
Pre-trained Models for Natural Language Processing: A Survey
arXiv 2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
EMNLP 2020 11
How to Fine-Tune BERT for Text Classification?
arXiv 2019
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
glossbert-bert-for-word-sense-disambiguation-1
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