activity
20242026
most citedSELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

RESKILL: Explicit Failure Attribution and Structured Repair for Interactive Language Agents

Mengyi Deng, Xin Li, Duyi Pan +4

Language agents increasingly rely on reusable skills, but post-failure repair is often handled by opaque one-shot reflection: a model generates a skill patch without explicitly mai…

cs.IR2026★ 1 cited

BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs

Duyi Pan, Tianao Lou, Xin Li +5

Large Language Models (LLMs) exhibit hallucinations in knowledge-intensive tasks. Graph-based retrieval augmented generation (RAG) has emerged as a promising solution, yet existing…

cs.LG2026

Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates

Haoze Song, Zhihao Li, Mengyi Deng +4

Neural operators (NOs) provide fast, resolution-invariant surrogates for mapping input fields to PDE solution fields, but their predictions can exhibit significant epistemic uncert…

cs.CL2025

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue

Xiang Li, Duyi Pan, Hongru Xiao +5

Speech synthesis is crucial for human-computer interaction, enabling natural and intuitive communication. However, existing datasets involve high construction costs due to manual a…

cs.AI2024★ 2 cited

SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning

Yizhou Chi, Yizhang Lin, Sirui Hong +9

Automated Machine Learning (AutoML) approaches encompass traditional methods that optimize fixed pipelines for model selection and ensembling, as well as newer LLM-based frameworks…