Ruobing Xie

OpenReview

papers

2,024

total citations

papers (12)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

ICLR 2024arXiv

1,197

citations

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

ICLR 2024arXiv

503

citations

Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”

AAAI 2025arXiv

citations

Hybrid-Tower: Fine-grained Pseudo-query Interaction and Generation for Text-to-Video Retrieval

ICCV 2025arXiv

citations

Flexible Realignment of Language Models

NEURIPS 2025arXiv

citations

Curriculum Disentangled Recommendation with Noisy Multi-feedback

NEURIPS 2021

citations

Curriculum Conditioned Diffusion for Multimodal Recommendation

AAAI 2025

citations

Ruobing Xie

papers (12)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback

Plug-In Diffusion Model for Sequential Recommendation

PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset

Exploring the Benefit of Activation Sparsity in Pre-training

Scaling Laws for Floating–Point Quantization Training

Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”

Hybrid-Tower: Fine-grained Pseudo-query Interaction and Generation for Text-to-Video Retrieval

Flexible Realignment of Language Models

Curriculum Disentangled Recommendation with Noisy Multi-feedback

Curriculum Conditioned Diffusion for Multimodal Recommendation

papers (12)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback

Plug-In Diffusion Model for Sequential Recommendation

PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset

Exploring the Benefit of Activation Sparsity in Pre-training

Scaling Laws for Floating–Point Quantization Training

Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”

Hybrid-Tower: Fine-grained Pseudo-query Interaction and Generation for Text-to-Video Retrieval

Flexible Realignment of Language Models

Curriculum Disentangled Recommendation with Noisy Multi-feedback

Curriculum Conditioned Diffusion for Multimodal Recommendation