Qi Zhang
- Papers
- 106
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Authored papers
106Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
arXiv 2026
Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
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
CCTU: A Benchmark for Tool Use under Complex Constraints
arXiv 2026
UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?
arXiv 2026
Can Deep Research Agents Find and Organize? Evaluating the Synthesis Gap with Expert Taxonomies
arXiv 2026
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
arXiv 2026
CL-bench: A Benchmark for Context Learning
arXiv 2026
FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions
arXiv 2026
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
arXiv 2026
Agri-R1: Agricultural Reasoning for Disease Diagnosis via Automated-Synthesis and Reinforcement Learning
arXiv 2026
SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing
arXiv 2026
Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning
arXiv 2025
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
arXiv 2025
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning
arXiv 2025
WorldPM: Scaling Human Preference Modeling
arXiv 2025
A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
arXiv 2025
A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
arXiv 2025
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
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
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
arXiv 2025
LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models
arXiv 2025
HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture Grading
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
GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
arXiv 2025
Pre-Trained Policy Discriminators are General Reward Models
arXiv 2025
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
arXiv 2025
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
arXiv 2025
Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning
arXiv 2025
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
arXiv 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric
arXiv 2025
UFO: A UI-Focused Agent for Windows OS Interaction
arXiv 2024
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
arXiv 2024
Large Action Models: From Inception to Implementation
arXiv 2024
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
CVPR 2025 1
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
arXiv 2024
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
arXiv 2024
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
arXiv 2024
SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents
arXiv 2024
Length Generalization of Causal Transformers without Position Encoding
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
TableGPT2: A Large Multimodal Model with Tabular Data Integration
arXiv 2024
E5-V: Universal Embeddings with Multimodal Large Language Models
arXiv 2024
Multi-Programming Language Sandbox for LLMs
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
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
arXiv 2024
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
arXiv 2024
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
arXiv 2024
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning
arXiv 2024
DocFusion: A Unified Framework for Document Parsing Tasks
arXiv 2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
arXiv 2024
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding
arXiv 2024
Aligning Large Language Models from Self-Reference AI Feedback with one General Principle
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
CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models
ICCV 2025
Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors
arXiv 2024
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
arXiv 2024
Large Language Model-Brained GUI Agents: A Survey
arXiv 2024
MouSi: Poly-Visual-Expert Vision-Language Models
arXiv 2024
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
arXiv 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
arXiv 2024
Non-negative Contrastive Learning
arXiv 2024
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
arXiv 2024
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
arXiv 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
arXiv 2024
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
arXiv 2024
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
arXiv 2024
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
arXiv 2024
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
arXiv 2024
Are Large Language Models Good Prompt Optimizers?
arXiv 2024
GS-IR: 3D Gaussian Splatting for Inverse Rendering
CVPR 2024 1
LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
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
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending
arXiv 2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
arXiv 2023
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
arXiv 2023
Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths
arXiv 2023
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
arXiv 2023
Efficient Maximum Fair Clique Search over Large Networks
arXiv 2023
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation
arXiv 2023
The Rise and Potential of Large Language Model Based Agents: A Survey
arXiv 2023
Movie101: A New Movie Understanding Benchmark
arXiv 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
arXiv 2023
On the Generalization of Multi-modal Contrastive Learning
arXiv 2023
IRGen: Generative Modeling for Image Retrieval
arXiv 2023
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
arXiv 2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
arXiv 2023
Orthogonal Subspace Learning for Language Model Continual Learning
arXiv 2023
PromptBERT: Improving BERT Sentence Embeddings with Prompts
arXiv 2022
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression
arXiv 2022
UV Volumes for Real-time Rendering of Editable Free-view Human Performance
CVPR 2023 1
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
arXiv 2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
arXiv 2022
PanGu-Coder: Program Synthesis with Function-Level Language Modeling
arXiv 2022
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
arXiv 2021
Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
EMNLP 2021 11
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction
arXiv 2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
EMNLP 2020 11
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