3 citations · 4 across the 30 of their papers we have counts for
5 papers · 1 filter
MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning
Zheng Li, Yang Du, Mao Zheng +1
Extensive research has been conducted to explore the capability of Large Language Models (LLMs) for table reasoning and has significantly improved the performance on existing bench…
A Survey of Query Optimization in Large Language Models
Mingyang Song, Mao Zheng
Query Optimization (QO) has become essential for enhancing Large Language Model (LLM) effectiveness, particularly in Retrieval-Augmented Generation (RAG) systems where query qualit…
SS-GEN: A Social Story Generation Framework with Large Language Models
Yi Feng, Mingyang Song, Jiaqi Wang +5
Children with Autism Spectrum Disorder (ASD) often misunderstand social situations and struggle to participate in daily routines. Social Stories are traditionally crafted by psycho…
Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study
Mingyang Song, Mao Zheng, Xuan Luo +1
Utilizing Large Language Models (LLMs) as evaluators to assess the performance of LLMs has garnered attention. However, this kind of evaluation approach is affected by potential bi…
Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models
Mingyang Song, Mao Zheng, Xuan Luo
Despite recent efforts to develop large language models with robust long-context capabilities, the lack of long-context benchmarks means that relatively little is known about their…