Nitesh V. Chawla
- Papers
- 11
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Authored papers
11Emergent Social Intelligence Risks in Generative Multi-Agent Systems
arXiv 2026
AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration -- Learning from Cheap, Optimizing Expensive
arXiv 2026
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
arXiv 2025
CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain?
arXiv 2025
Graph Diffusion Transformers are In-Context Molecular Designers
arXiv 2025
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
arXiv 2024
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
arXiv 2024
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
arXiv 2024
AnyLoss: Transforming Classification Metrics into Loss Functions
arXiv 2024
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
NeurIPS 2023 11
Graph Neural Prompting with Large Language Models
arXiv 2023
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