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Related papers: Towards Reliable Large Audio Language Model

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Validating Large Language Models with ReLM explores the application of formal languages to evaluate and control Large Language Models (LLMs) for memorization, bias, and zero-shot performance. Current approaches for evaluating these types…

Computation and Language · Computer Science 2025-04-18 Reece Adamson , Erin Song

The large language model (LLM) is typically integrated into the mainstream optimization protocol. No work has questioned whether maintaining the model integrity is \textit{indispensable} for promising performance. In this work, we introduce…

Computation and Language · Computer Science 2026-03-17 Mingyuan Zhang , Yue Bai , Huan Wang , Yizhou Wang , Qihua Dong , Yitian Zhang , Yun Fu

Audio Large Language Models (Audio LLMs) enable human-like conversation about music, yet it is unclear if they are truly listening to the audio or just using textual reasoning, as recent benchmarks suggest. This paper investigates this…

Machine Learning · Computer Science 2026-05-18 Giovana Morais , Magdalena Fuentes

This paper assesses the potential for the large language models (LLMs) GPT-4 and GPT-3.5 to aid in deriving insight from education feedback surveys. Exploration of LLM use cases in education has focused on teaching and learning, with less…

Computation and Language · Computer Science 2024-06-28 Michael J. Parker , Caitlin Anderson , Claire Stone , YeaRim Oh

Large Language Model (LLM)-based systems present new opportunities for autonomous health monitoring in sensor-rich industrial environments. This study explores the potential of LLMs to detect and classify faults directly from sensor data,…

Artificial Intelligence · Computer Science 2025-09-30 Xian Yeow Lee , Lasitha Vidyaratne , Ahmed Farahat , Chetan Gupta

In task-oriented conversational AI evaluation, unsupervised methods poorly correlate with human judgments, and supervised approaches lack generalization. Recent advances in large language models (LLMs) show robust zeroshot and few-shot…

Computation and Language · Computer Science 2024-06-26 Jinghan Jia , Abi Komma , Timothy Leffel , Xujun Peng , Ajay Nagesh , Tamer Soliman , Aram Galstyan , Anoop Kumar

Mathematical reasoning has long represented one of the most fundamental and challenging frontiers in artificial intelligence research. In recent years, large language models (LLMs) have achieved significant advances in this area. This…

Artificial Intelligence · Computer Science 2025-06-11 Peng-Yuan Wang , Tian-Shuo Liu , Chenyang Wang , Yi-Di Wang , Shu Yan , Cheng-Xing Jia , Xu-Hui Liu , Xin-Wei Chen , Jia-Cheng Xu , Ziniu Li , Yang Yu

Large language models (LLMs) are a promising venue for natural language understanding and generation. However, current LLMs are far from reliable: they are prone to generating non-factual information and, more crucially, to contradicting…

Computation and Language · Computer Science 2024-09-24 Diego Calanzone , Stefano Teso , Antonio Vergari

Small language models (SLMs), despite their widespread adoption in modern smart devices, have received significantly less academic attention compared to their large language model (LLM) counterparts, which are predominantly deployed in data…

Computation and Language · Computer Science 2025-02-27 Zhenyan Lu , Xiang Li , Dongqi Cai , Rongjie Yi , Fangming Liu , Xiwen Zhang , Nicholas D. Lane , Mengwei Xu

Large Language Models (LLMs) have advanced various Natural Language Processing (NLP) tasks, such as text generation and translation, among others. However, these models often generate texts that can perpetuate biases. Existing approaches to…

Computation and Language · Computer Science 2025-01-07 Shaina Raza , Oluwanifemi Bamgbose , Shardul Ghuge , Fatemeh Tavakol , Deepak John Reji , Syed Raza Bashir

The advancement of large language models (LLMs) has outpaced traditional evaluation methodologies. This progress presents novel challenges, such as measuring human-like psychological constructs, moving beyond static and task-specific…

Computation and Language · Computer Science 2026-03-12 Haoran Ye , Jing Jin , Yuhang Xie , Xin Zhang , Guojie Song

Recently, Large Language Models (LLMs) and Vision Language Models (VLMs) have demonstrated aptitude as potential substitutes for human participants in experiments testing psycholinguistic phenomena. However, an understudied question is to…

Computation and Language · Computer Science 2024-10-21 Tyler Loakman , Yucheng Li , Chenghua Lin

In the evolving landscape of conversational AI, generating concise, context-aware, and human-like dialogue using small and medium-sized language models (LLMs) remains a complex challenge. This study investigates the influence of LoRA rank,…

Computation and Language · Computer Science 2025-04-15 Chitranshu Harbola , Anupam Purwar

Large Language Models (LLMs) are distinguished by their architecture, which dictates their parameter size and performance capabilities. Social scientists have increasingly adopted LLMs for text classification tasks, which are difficult to…

Computation and Language · Computer Science 2024-11-05 Marcello Carammia , Stefano Maria Iacus , Giuseppe Porro

Empowering large language models to accurately express confidence in their answers is essential for trustworthy decision-making. Previous confidence elicitation methods, which primarily rely on white-box access to internal model information…

Computation and Language · Computer Science 2024-03-19 Miao Xiong , Zhiyuan Hu , Xinyang Lu , Yifei Li , Jie Fu , Junxian He , Bryan Hooi

Today, using Large-scale generative Language Models (LLMs) it is possible to simulate free responses to interview questions like those traditionally analyzed using qualitative research methods. Qualitative methodology encompasses a broad…

Computation and Language · Computer Science 2024-02-06 Aliya Amirova , Theodora Fteropoulli , Nafiso Ahmed , Martin R. Cowie , Joel Z. Leibo

Given the great success of large language models (LLMs) across various tasks, in this paper, we introduce LLM-ST, a novel and effective speech translation model constructed upon a pre-trained LLM. By integrating the large language model…

Computation and Language · Computer Science 2023-12-22 Zhichao Huang , Rong Ye , Tom Ko , Qianqian Dong , Shanbo Cheng , Mingxuan Wang , Hang Li

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

The rise of Multimodal Large Language Models (MLLMs) has become a transformative force in the field of artificial intelligence, enabling machines to process and generate content across multiple modalities, such as text, images, audio, and…

Computation and Language · Computer Science 2025-12-09 Ming Li , Keyu Chen , Ziqian Bi , Ming Liu , Xinyuan Song , Zekun Jiang , Tianyang Wang , Benji Peng , Qian Niu , Junyu Liu , Jinlang Wang , Sen Zhang , Xuanhe Pan , Jiawei Xu , Pohsun Feng

Large Language Models (LLMs) have achieved remarkable success across various industries due to their exceptional generative capabilities. However, for safe and effective real-world deployments, ensuring honesty and helpfulness is critical.…

Computation and Language · Computer Science 2024-12-12 Chujie Gao , Siyuan Wu , Yue Huang , Dongping Chen , Qihui Zhang , Zhengyan Fu , Yao Wan , Lichao Sun , Xiangliang Zhang