Yan Zhang
- Papers
- 39
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Authored papers
39SCOPE: Simulating Cross-game Operations in Playable Environments for FPS World Models
arXiv 2026
UniVBench: Towards Unified Evaluation for Video Foundation Models
arXiv 2026
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
arXiv 2025
Baichuan-M1: Pushing the Medical Capability of Large Language Models
arXiv 2025
When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding
arXiv 2025
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
arXiv 2025
VidText: Towards Comprehensive Evaluation for Video Text Understanding
arXiv 2025
Generating $π$-Functional Molecules Using STGG+ with Active Learning
arXiv 2025
UniFit: Towards Universal Virtual Try-on with MLLM-Guided Semantic Alignment
arXiv 2025
Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuray
arXiv 2025
Baichuan-Omni-1.5 Technical Report
arXiv 2025
MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks
arXiv 2025
Graph Retrieval-Augmented Generation: A Survey
arXiv 2024
Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal
arXiv 2024
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
arXiv 2024
Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
arXiv 2024
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
arXiv 2024
UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment
arXiv 2024
Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues
arXiv 2024
M-MAD: Multidimensional Multi-Agent Debate Framework for Fine-grained Machine Translation Evaluation
arXiv 2024
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark
arXiv 2024
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs
arXiv 2024
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
arXiv 2024
Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
CVPR 2024 1
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
arXiv 2024
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
arXiv 2024
SysBench: Can Large Language Models Follow System Messages?
arXiv 2024
Unlocking Slot Attention by Changing Optimal Transport Costs
arXiv 2023
Allies: Prompting Large Language Model with Beam Search
arXiv 2023
Improving Large Language Models in Event Relation Logical Prediction
arXiv 2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
ICCV 2023 1
Is ChatGPT a Good Recommender? A Preliminary Study
arXiv 2023
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems
arXiv 2023
Object-centric architectures enable efficient causal representation learning
arXiv 2023
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
arXiv 2023
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing
arXiv 2023
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
ACL 2022 5
Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL
arXiv 2021
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
EMNLP 2020 11
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