4 citations · 7 across the 4 of their papers we have counts for
4 papers
PaSa: An LLM Agent for Comprehensive Academic Paper Search
Yichen He, Guanhua Huang, Peiyuan Feng +4
We introduce PaSa, an advanced Paper Search agent powered by large language models. PaSa can autonomously make a series of decisions, including invoking search tools, reading paper…
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
Guanhua Huang, Yuchen Zhang, Zhe Li +3
The widespread use of large language models (LLMs) has sparked concerns about the potential misuse of AI-generated text, as these models can produce content that closely resembles…
Improving Generalization and Convergence by Enhancing Implicit Regularization
Mingze Wang, Jinbo Wang, Haotian He +6
In this work, we propose an Implicit Regularization Enhancement (IRE) framework to accelerate the discovery of flat solutions in deep learning, thereby improving generalization and…
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Peiyuan Feng, Yichen He, Guanhua Huang +4
We introduce a novel reinforcement learning framework of LLM agents named AGILE (AGent that Interacts and Learns from Environments) designed to perform complex conversational tasks…