Enhong Chen

OpenReview

papers

1,681

total citations

papers (27)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

CVPR 2025arXiv

917

citations

Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation

CVPR 2022arXiv

135

citations

ToolACE: Winning the Points of LLM Function Calling

ICLR 2025arXiv

124

citations

DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis

ICCV 2021arXiv

121

citations

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

AAAI 2024arXiv

108

citations

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation

AAAI 2025arXiv

citations

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

NEURIPS 2022arXiv

citations

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

AAAI 2024arXiv

citations

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective

ICML 2025arXiv

citations

Multi-Branch Self-Drafting for LLM Inference Acceleration

AAAI 2025

citations

Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration

CVPR 2025

citations

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

ICML 2025arXiv

citations

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search

ICML 2024

citations

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model

AAAI 2025

citations

DARE: Disentanglement-Augmented Rationale Extraction

NEURIPS 2022

citations

A Bounded Ability Estimation for Computerized Adaptive Testing

NEURIPS 2023

citations

Knowledge Distillation for High Dimensional Search Index

NEURIPS 2023

citations

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering

NEURIPS 2025arXiv

citations

Explore What LLM Does Not Know in Complex Question Answering

AAAI 2025

citations

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy

NEURIPS 2022

citations

Recommender Forest for Efficient Retrieval

NEURIPS 2022

citations

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective

NEURIPS 2023

citations

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information

NEURIPS 2023

citations

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

ICML 2024

citations

Enhong Chen

papers (27)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation

ToolACE: Winning the Points of LLM Function Calling

DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

Semi-Supervised Neural Architecture Search

Incorporating BERT into Parallel Sequence Decoding with Adapters

Sampling-Decomposable Generative Adversarial Recommender

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective

Multi-Branch Self-Drafting for LLM Inference Acceleration

Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model

DARE: Disentanglement-Augmented Rationale Extraction

A Bounded Ability Estimation for Computerized Adaptive Testing

Knowledge Distillation for High Dimensional Search Index

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering

Explore What LLM Does Not Know in Complex Question Answering

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy

Recommender Forest for Efficient Retrieval

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

papers (27)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation

ToolACE: Winning the Points of LLM Function Calling

DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

Semi-Supervised Neural Architecture Search

Incorporating BERT into Parallel Sequence Decoding with Adapters

Sampling-Decomposable Generative Adversarial Recommender

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective

Multi-Branch Self-Drafting for LLM Inference Acceleration

Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model

DARE: Disentanglement-Augmented Rationale Extraction

A Bounded Ability Estimation for Computerized Adaptive Testing

Knowledge Distillation for High Dimensional Search Index

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering

Explore What LLM Does Not Know in Complex Question Answering

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy

Recommender Forest for Efficient Retrieval

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation