activity
20242026
most citedAudioBench: A Universal Benchmark for Audio Large Language Models

4 citations · 8 across the 14 of their papers we have counts for

collaborators
Showing cs.CLShow all

8 papers · 1 filter

cs.CL2026

SEA-SpeechBench: A Large-Scale Multitask Benchmark for Speech Understanding Across Southeast Asia

Jingyi Liao, Wenyu Zhang, Zhuohan Liu +6

The rapid advancement of audio and multimodal large language models has unlocked transformative speech understanding capabilities, yet evaluation frameworks remain predominantly En…

cs.CL2026

LitVISTA: A Benchmark for Narrative Orchestration in Literary Text

Mingzhe Lu, Yiwen Wang, Yanbing Liu +8

Computational narrative analysis aims to capture rhythm, tension, and emotional dynamics in literary texts. Existing large language models can generate long stories but overly focu…

cs.CL2025

Benchmarking Contextual and Paralinguistic Reasoning in Speech-LLMs: A Case Study with In-the-Wild Data

Qiongqiong Wang, Hardik Bhupendra Sailor, Tianchi Liu +7

Recent speech-LLMs have shown impressive performance in tasks like transcription and translation, yet they remain limited in understanding the paralinguistic aspects of speech cruc…

cs.CL2025

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models

Qiongqiong Wang, Hardik B. Sailor, Jeremy H. M. Wong +6

Current large speech language models (Speech-LLMs) often exhibit limitations in empathetic reasoning, primarily due to the absence of training datasets that integrate both contextu…

cs.CL2025

Beyond Classification: Towards Speech Emotion Reasoning with Multitask AudioLLMs

Wenyu Zhang, Yingxu He, Geyu Lin +9

Audio Large Language Models (AudioLLMs) have achieved strong results in semantic tasks like speech recognition and translation, but remain limited in modeling paralinguistic cues s…

cs.CL2025

MERaLiON-AudioLLM: Bridging Audio and Language with Large Language Models

Yingxu He, Zhuohan Liu, Shuo Sun +5

We introduce MERaLiON-AudioLLM (Multimodal Empathetic Reasoning and Learning in One Network), the first speech-text model tailored for Singapore's multilingual and multicultural la…

cs.CL2025★ 2 cited

Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models

Bin Wang, Xunlong Zou, Shuo Sun +6

Singlish, a Creole language rooted in English, is a key focus in linguistic research within multilingual and multicultural contexts. However, its spoken form remains underexplored,…

cs.CL2024★ 2 cited

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages

Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar +58

Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing…