语言大模型 / LLM

Unintended Bias in Language Model-driven Conversational Recommendation

Tianshu Shen, Jiaru Li, Mohamed Reda Bouadjenek, Zheda Mai, Scott Sanner

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments 12 pages, 7 figures

Medication Error Detection Using Contextual Language Models

Yu Jiang, Christian Poellabauer

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments AAAI-22 workshop: W3PHIAI-22

Refining Language Models with Compositional Explanations

Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments Accepted to NeurIPS 2021. Camera-ready version. Code: https://github.com/INK-USC/expl-refinement

Ethical and social risks of harm from Language Models

Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Improving the robustness and accuracy of biomedical language models through adversarial training

Milad Moradi, Matthias Samwald

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units

Anurag Katakkar, Alan W Black

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Spanish Legalese Language Model and Corpora

Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Aitor Gonzalez-Agirre, Marta Villegas

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Integrating Graph Contextualized Knowledge into Pre-trained Language Models

Bin He, Di Zhou, Jinghui Xiao, Xin jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments Findings of EMNLP 2020

Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study

Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments AKBC 2021 camera-ready

ALLWAS: Active Learning on Language models in WASserstein space

Anson Bastos, Manohar Kaul

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling

Ashish Shenoy, Sravan Bodapati, Katrin Kirchhoff

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments Accepted at ACL-IJCNLP 2021 Workshop on e-Commerce and NLP (ECNLP)

Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models

Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments AIED'21: The 22nd International Conference on Artificial Intelligence in Education, 2021

Probing Pre-Trained Language Models for Disease Knowledge

Israa Alghanmi, Luis Espinosa-Anke, Steven Schockaert

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted by ACL 2021 Findings

Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes

Bhavani Singh Agnikula Kshatriya, Nicolas A Nunez, Manuel Gardea- Resendez, Euijung Ryu, Brandon J Coombes, Sunyang Fu, Mark A Frye, Joanna M Biernacka, Yanshan Wang

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Causal BERT : Language models for causality detection between events expressed in text

Vivek Khetan, Roshni Ramnani, Mayuresh Anand, Shubhashis Sengupta, Andrew E. Fano

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments 17 pages, 4 figures, to be published in Advances in Intelligent Systems and Computing, Appendixed by Vivek Khetan

Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition

Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li, Yifan Gong

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments 8 pages, 2 figures, SLT 2021

Journal ref 2021 IEEE Spoken Language Technology Workshop (SLT)

Open-Domain Dialogue Generation Based on Pre-trained Language Models

Yan Zeng, Jian-Yun Nie

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments [v0], 10 pages, 4 figures

Detecting ESG topics using domain-specific language models and data augmentation approaches

Tim Nugent, Nicole Stelea, Jochen L. Leidner

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments 11 pages, 5 tables, 1 figure

Navigating Human Language Models with Synthetic Agents

Philip Feldman, Antonio Bucchiarone

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments 8 pages, 6 figures, 2 tables, 1 algorithm

Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation

Rishika Agarwal, Xiaochuan Niu, Pranay Dighe, Srikanth Vishnubhotla, Sameer Badaskar, Devang Naik

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation

Piji Li

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments 26 pages

Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition

Surabhi Punjabi, Harish Arsikere, Sri Garimella

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments Accepted by IEEE ASRU workshop, 2019

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Dogu Araci

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments This thesis is submitted in partial fulfillment for the degree of Master of Science in Information Studies: Data Science, University of Amsterdam. June 25, 2019

A framework for anomaly detection using language modeling, and its applications to finance

Armineh Nourbakhsh, Grace Bang

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments 5 pages, 2 figures, presented at the 2nd KDD Workshop on Anomaly Detection in Finance, 2019

Domain Specific Author Attribution Based on Feedforward Neural Network Language Models

Zhenhao Ge, Yufang Sun

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments International Conference on Pattern Recognition Application and Methods (ICPRAM) 2016

Estimating Confusions in the ASR Channel for Improved Topic-based Language Model Adaptation

Damianos Karakos, Mark Dredze, Sanjeev Khudanpur

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments Technical Report 8, Human Language Technology Center of Excellence, Johns Hopkins University

BCoughBench: Benchmarking Respiratory Acoustic Foundation Models Under Body-Coupled Wearable Sensor Conditions

BCoughBench：在体耦合可穿戴传感器条件下对呼吸声学基础模型进行基准测试

Mayur Sanap, Prasanna Desikan, Edgar Lobaton

机构 * Centific Global Solutions Inc.（Centific全球解决方案公司） ； North Carolina State University（北卡罗来纳州立大学） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.AI

AI总结 针对体耦合可穿戴传感器导致高频衰减的问题，提出BCoughBench基准，评估五种呼吸声学基础模型在九项分类和三项回归任务上的性能，发现模型可靠性下降，性别分类性能崩溃，而COVID检测几乎不受影响。

Comments Accepted to the KDD 2026 Workshop on Reliable Scientific Foundation Models (RelSciFM)

An AI-Assisted Migration Framework for Transforming Legacy Scientific Applications into Reusable Cloud-Based Workflows

一种将遗留科学应用转换为可重用云工作流的AI辅助迁移框架

Nafiseh Soveizi, Sven Tesselaar, Hero Robinson Brouwer, Zhiming Zhao

专题命中 领域大模型 ：LLM(abstract,abstract_cn)；large language model(abstract)；language model(abstract)

AI总结 该研究提出结合RM-ODP、LLMs和DSM分析的AI辅助迁移框架，成功将两个不同领域的遗留科学应用转换为保留原功能的可重用云工作流，为遗留科学软件现代化提供可行方案。

Comments 8 pages, 2 figures, 5 tables. Accepted at the 22nd IEEE International Conference on e-Science (eScience 2026)

From Token Generation to Item Ranking: Direct Generative Recommendation with Semantic IDs

SimGR：摆脱基于大语言模型推荐的生成解码陷阱

Yuanbo Zhao, Ruochen Liu, Senzhang Wang, Jun Yin, Yuxin Dong, Huan Gong, Hao Chen, Shirui Pan, Chengqi Zhang

专题命中 领域大模型 ：LLM(summary_cn,abstract)

AI总结 SimGR通过在共享潜在空间中直接建模物品层面偏好分布，缓解了基于LLM推荐中生成解码的偏差问题。

Designing Mobile and Wearable Sensor-Fused Conversational Agents for Health and Wellbeing

面向健康与福祉的移动及可穿戴传感器融合对话智能体设计

Hansoo Lee, Pablo Fonseca, Md Haseen Akhtar

专题命中 领域大模型 ：LLM(summary_cn,abstract)

AI总结 本教程面向健康领域，旨在教授参与者使用WSDWAS工具，将可穿戴传感器数据与LLM驱动的对话智能体结合，实现从被动监测到可操作福祉对话的转变。

Comments 6 pages, 3 figures. Accepted as a Tutorial at the 28th International Conference on Mobile Human-Computer Interaction (MobileHCI '26)

Journal ref In 28th International Conference on Mobile Human-Computer Interaction (MobileHCI '26), August 31-September 03, 2026, Swansea, United Kingdom