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Yifan Zhang

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53

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53papers

Authored papers

53

OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond

arXiv 2026

2026

MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome

arXiv 2026

2026

Deep Delta Learning

arXiv 2026

2026

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation

arXiv 2026

2026

FlashSampling: Fast and Memory-Efficient Exact Sampling

arXiv 2026

2026

PersonaVLM: Long-Term Personalized Multimodal LLMs

arXiv 2026

2026

VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool Chaining

arXiv 2026

2026

PEARL: Personalized Streaming Video Understanding Model

arXiv 2026

2026

Interactive Benchmarks

arXiv 2026

2026

Residual Stream Duality in Modern Transformer Architectures

arXiv 2026

2026

How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing

arXiv 2026

2026

Tensor Product Attention Is All You Need

arXiv 2025

2025

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning

arXiv 2025

2025

FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models

arXiv 2025

2025

Monadic Context Engineering

arXiv 2025

2025

Web World Models

arXiv 2025

2025

Group Representational Position Encoding

arXiv 2025

2025

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling

arXiv 2025

2025

Higher-order Linear Attention

arXiv 2025

2025

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model

arXiv 2025

2025

MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

arXiv 2025

2025

Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch

arXiv 2025

2025

Matrix-Game: Interactive World Foundation Model

arXiv 2025

2025

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization

arXiv 2025

2025

Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs

arXiv 2025

2025

Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval

arXiv 2025

2025

oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning

arXiv 2025

2025

Exact Coset Sampling for Quantum Lattice Algorithms

arXiv 2025

2025

RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards

arXiv 2025

2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

arXiv 2025

2025

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models

arXiv 2025

2025

DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation

CVPR 2025 1

2025

One-Shot Diffusion Mimicker for Handwritten Text Generation

arXiv 2024

2024

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models

arXiv 2024

2024

General Preference Modeling with Preference Representations for Aligning Language Models

arXiv 2024

2024

On the Diagram of Thought

arXiv 2024

2024

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

arXiv 2024

2024

Poison-splat: Computation Cost Attack on 3D Gaussian Splatting

arXiv 2024

2024

Augmenting Math Word Problems via Iterative Question Composing

arXiv 2024

2024

Scaling Image Tokenizers with Grouped Spherical Quantization

arXiv 2024

2024

Training and Evaluating Language Models with Template-based Data Generation

arXiv 2024

2024

Disentangling Writer and Character Styles for Handwriting Generation

CVPR 2023 1

2023

Meta Prompting for AI Systems

arXiv 2023

2023

Towards Stable Test-Time Adaptation in Dynamic Wild World

arXiv 2023

2023

Cumulative Reasoning with Large Language Models

arXiv 2023

2023

Dataset Quantization

ICCV 2023 1

2023

Contrastive Learning Is Spectral Clustering On Similarity Graph

arXiv 2023

2023

Efficient Test-Time Model Adaptation without Forgetting

arXiv 2022

2022

Expanding Small-Scale Datasets with Guided Imagination

expanding-small-scale-datasets-with-guided

2022

Deep Long-Tailed Learning: A Survey

arXiv 2021

2021

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition

arXiv 2021

2021

Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

arXiv 2021

2021

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

NeurIPS 2021 12

2021

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from 53 papers