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20222026
most citedPSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling

5 citations · 9 across the 11 of their papers we have counts for

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cs.CL2026

Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution

Sichun Luo, Yi Huang, Guanzhi Deng +6

Large language model (LLM)-driven evolution has shown promise for program search and algorithm discovery, but relying on strong models throughout long evolutionary runs is costly.…

cs.CL2026

SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution

Sichun Luo, Yi Huang, Haochen Luo +7

Large Language Model (LLM)-guided evolutionary search is increasingly used for automated algorithm discovery, yet most current methods track search progress primarily through execu…

cs.CL2025

Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems

Yucheng Cai, Yuxuan Wu, Yi Huang +2

Large language models (LLMs) have recently been applied to dialog systems. Despite making progress, LLMs are prone to errors in knowledge-intensive scenarios. Recently, approaches…

cs.CL2025

Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems

Yucheng Cai, Ke Li, Yi Huang +2

A retriever, which retrieves relevant knowledge pieces from a knowledge base given a context, is an important component in many natural language processing (NLP) tasks. Retrievers…

cs.CL2025

Palette of Language Models: A Solver for Controlled Text Generation

Zhe Yang, Yi Huang, Yaqin Chen +3

Recent advancements in large language models have revolutionized text generation with their remarkable capabilities. These models can produce controlled texts that closely adhere t…

cs.CL2024

The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)

Yucheng Cai, Si Chen, Yuxuan Wu +3

Recently, increasing research interests have focused on retrieval augmented generation (RAG) to mitigate hallucination for large language models (LLMs). Following this trend, we la…