PaperHub

James Zou

~James_Zou1

46
论文总数
23.0
年均投稿
6.1
平均评分
接收情况33/46
会议分布
ICLR
24
NeurIPS
16
ICML
4
COLM
2

发表论文 (46 篇)

202531

7.3
3

Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering

ICLR 2025Spotlight
8.0
4

Capturing the Temporal Dependence of Training Data Influence

ICLR 2025Oral
6.0
4

Locality Alignment Improves Vision-Language Models

ICLR 2025Poster
5.5
4

Optimizing Calibration by Gaining Aware of Prediction Correctness

ICLR 2025Rejected
7.3
4

metaTextGrad: Automatically optimizing language model optimizers

NeurIPS 2025Poster
6.0
4

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning

NeurIPS 2025Poster
7.8
4

EvoLM: In Search of Lost Language Model Training Dynamics

NeurIPS 2025Oral
4.7
3

FactTest: Factuality Testing in Large Language Models with Statistical Guarantees

ICLR 2025Rejected
6.3
3

FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees

ICML 2025Poster
6.8
4

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

NeurIPS 2025Poster
8.2
4

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

NeurIPS 2025Oral
7.5
4

Mixture-of-Agents Enhances Large Language Model Capabilities

ICLR 2025Spotlight
7.3
4

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters

NeurIPS 2025Poster
6.5
4

GMValuator: Similarity-based Data Valuation for Generative Models

ICLR 2025Poster
4.3
3

SMiR: A Synthetic Data Pipeline To Improve Multi-Image Reasoning

ICLR 2025withdrawn
5.3
4

Quantifying AI Psychology: A Psychometric Benchmark for Large Language Models

ICLR 2025Rejected
7.0
3

Cost-efficient Collaboration between On-device and Cloud Language Models

ICML 2025Poster
6.3
4

Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models

COLM 2025Poster
4.0
4

AutoRedTeamer: An Autonomous Red Teaming Agent Against Language Models

ICLR 2025Rejected
5.3
3

Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models

ICLR 2025Rejected
7.0
4

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

ICLR 2025Poster
7.8
5

CollabLLM: From Passive Responders to Active Collaborators

ICML 2025Oral
6.3
3

Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors

COLM 2025Poster
6.1
4

Improving Model Alignment Through Collective Intelligence of Open-Source Models

ICML 2025Poster
6.0
4

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

ICLR 2025Poster
5.0
6

Self-rationalization improves LLM as a fine-grained judge

ICLR 2025Rejected
6.8
4

AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration

NeurIPS 2025Poster
4.8
5

Improving Model Alignment Through Collective Intelligence of Open-Source Models

ICLR 2025Rejected
6.4
4

4KAgent: Agentic Any Image to 4K Super-Resolution

NeurIPS 2025Poster
5.3
4

LoGra-Med: Long-Context Multi-Graph Alignment for Medical Visual-Language Models

ICLR 2025withdrawn
6.4
4

ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models

NeurIPS 2025Poster

202415

5.3
4

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

ICLR 2024Rejected
6.5
4

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace

ICLR 2024Poster
6.8
4

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

ICLR 2024Rejected
6.0
4

Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution

NeurIPS 2024Poster
5.6
5

GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts

NeurIPS 2024Poster
5.0
4

Distribution Shift Resilient GNN via Mixture of Aligned Experts

ICLR 2024Rejected
6.0
4

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

ICLR 2024Poster
4.3
4

Learning and Forgetting Unsafe Examples in Large Language Models

ICLR 2024Rejected
6.3
3

Zoology: Measuring and Improving Recall in Efficient Language Models

ICLR 2024Poster
6.0
4

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

ICLR 2024Poster
5.5
4

Enhancing Large Vision Language Models with Self-Training on Image Comprehension

NeurIPS 2024Poster
6.3
4

Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems

NeurIPS 2024Poster
6.3
4

TFG: Unified Training-Free Guidance for Diffusion Models

NeurIPS 2024Spotlight
6.0
4

Accelerating Transformers with Spectrum-Preserving Token Merging

NeurIPS 2024Poster
5.3
3

AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning

NeurIPS 2024Poster