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20242026
most citedRankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners

2 citations · 2 across the 16 of their papers we have counts for

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13 papers · 1 filter

cs.CL2026

ToFu: A White-Box, Token-Efficient Agent Harness for Researchers

Junhao Ruan, Yuan Ge, Bei Li +7

Agentic coding tools present new opportunities to transform research workflows. The performance of agent systems built depends on both large language models (LLMs) and the harness…

cs.CL2026

On the Emotion Understanding of Synthesized Speech

Yuan Ge, Haishu Zhao, Aokai Hao +10

Emotion is a core paralinguistic feature in voice interaction. It is widely believed that emotion understanding models learn fundamental representations that transfer to synthesize…

cs.CL2026

StyleBench: Evaluating Speech Language Models on Conversational Speaking Style Control

Haishu Zhao, Aokai Hao, Yuan Ge +3

Speech language models (SLMs) have significantly extended the interactive capability of text-based Large Language Models (LLMs) by incorporating paralinguistic information. For mor…

cs.CL2025

SUBQRAG: Sub-Question Driven Dynamic Graph RAG

Jiaoyang Li, Junhao Ruan, Shengwei Tang +5

Graph Retrieval-Augmented Generation (Graph RAG) effectively builds a knowledge graph (KG) to connect disparate facts across a large document corpus. However, this broad-view appro…

cs.CL2025

MTP-S2UT: Enhancing Speech-to-Speech Translation Quality with Multi-token Prediction

Jianjin Wang, Runsong Zhao, Xiaoqian Liu +6

Current direct speech-to-speech translation methods predominantly employ speech tokens as intermediate representations. However, a single speech token is not dense in semantics, so…

cs.CL2025

FLEXI: Benchmarking Full-duplex Human-LLM Speech Interaction

Yuan Ge, Saihan Chen, Jingqi Xiao +5

Full-Duplex Speech-to-Speech Large Language Models (LLMs) are foundational to natural human-computer interaction, enabling real-time spoken dialogue systems. However, benchmarking…