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20212024
most citedAutoLossGen: Automatic Loss Function Generation for Recommender Systems

17 citations · 30 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CL20245 cited

AutoFlow: Automated Workflow Generation for Large Language Model Agents

Zelong Li, Shuyuan Xu, Kai Mei +6

Recent advancements in Large Language Models (LLMs) have shown significant progress in understanding complex natural language. One important application of LLM is LLM-based AI Agen…

cs.CL20241 cited

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities

Wenyue Hua, Kaijie Zhu, Lingyao Li +7

This study intends to systematically disentangle pure logic reasoning and text understanding by investigating the contrast across abstract and contextualized logical problems from…

cs.CL20242 cited

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents

Shuyuan Xu, Zelong Li, Kai Mei +1

Since their inception, programming languages have trended towards greater readability and lower barriers for programmers. Following this trend, natural language can be a promising…

cs.CL20242 cited

TrustAgent: Towards Safe and Trustworthy LLM-based Agents

Wenyue Hua, Xianjun Yang, Mingyu Jin +4

The rise of LLM-based agents shows great potential to revolutionize task planning, capturing significant attention. Given that these agents will be integrated into high-stake domai…

cs.CL20216 cited

Counterfactual Evaluation for Explainable AI

Yingqiang Ge, Shuchang Liu, Zelong Li +6

While recent years have witnessed the emergence of various explainable methods in machine learning, to what degree the explanations really represent the reasoning process behind th…