语言大模型 / LLM

GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance

Sofia Jamil, Aryan Dabad, Bollampalli Areen Reddy, Sriparna Saha, Rajiv Misra, Adil A. Shakur

机构 * Department of Computer Science & Engineering, Indian Institute of Technology Patna（印度理工学院帕纳布分校计算机科学与工程系） ； Indira Gandhi Institute of Medical Sciences, Patna（英伽丁医学科学学院） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；preference optimization(abstract)；分类 cs.CL、cs.AI

RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?

Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri, Minghui Zhang, Noura Farra, Nektar Ege Altıntoprak, Lena Baur, Samantha Claudet, Pavel Gajdusek, Can Gören, Qilong Gu, Anna Kaminska, Tomasz Kaminski, Ruby Kuo, Akiko Kyuba, Jongho Lee, Kartik Mathur, Petter Merok, Ivana Milovanović, Nani Paananen, Vesa-Matti Paananen, Anna Pavlenko, Bruno Pereira Vidal, Luciano Strika, Yueh Tsao, Davide Turcato, Oleksandr Vakhno, Judit Velcsov, Anna Vickers, Stéphanie Visser, Herdyan Widarmanto, Andrey Zaikin, Si-Qing Chen

机构 * Microsoft Research India（微软印度研究院） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；small language model(abstract)；分类 cs.CL、cs.LG

Comments AAAI 2025--camera ready + extended abstract

SynLexLM: Scaling Legal LLMs with Synthetic Data and Curriculum Learning

Ojasw Upadhyay, Abishek Saravanakumar, Ayman Ismail

机构 * Georgia Institue of Technology（佐治亚理工学院） 纠错

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Comments 9 pages, 4 figures, 4 tables

Compute-Optimal LLMs Provably Generalize Better With Scale

Marc Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, J. Zico Kolter, Andrew Gordon Wilson

机构 * Carnegie Mellon University（卡内基梅隆大学） ； New York University（纽约大学） ； PureStrength AI ； Boston University（波士顿大学） ； Cornell University（康奈尔大学） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；pretraining(abstract)；分类 cs.AI、cs.LG

Comments ICLR 2025

Can LLMs Assist Expert Elicitation for Probabilistic Causal Modeling?

Olha Shaposhnyk, Daria Zahorska, Svetlana Yanushkevich

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials

Jingyun Yang, Ruoyan Avery Yin, Chi Jiang, Yuepeng Hu, Xiaokai Zhu, Xingjian Hu, Sutharsika Kumar, Xiao Wang, Xiaohua Zhai, Keran Rong, Yunyue Zhu, Tianyi Zhang, Zongyou Yin, Jing Kong, Neil Zhenqiang Gong, Zhichu Ren, Haozhe Wang

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；foundation model(abstract)；分类 cs.AI、cs.LG

Comments 13 pages, 4 figures

EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline

Peter Baile Chen, Tomer Wolfson, Michael Cafarella, Dan Roth

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Dataset and code are available at https://peterbaile.github.io/enrichindex/

Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training

Rajeev Kumar, Harishankar Kumar, Kumari Shalini

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Distill-C: Enhanced NL2SQL via Distilled Customization with LLMs

Cong Duy Vu Hoang, Gioacchino Tangari, Clemence Lanfranchi, Dalu Guo, Paul Cayet, Steve Siu, Don Dharmasiri, Yuan-Fang Li, Long Duong, Damien Hilloulin, Rhicheek Patra, Sungpack Hong, Hassan Chafi

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Preprint, accepted at NAACL 2025 (Industry Track)

SalesRLAgent: A Reinforcement Learning Approach for Real-Time Sales Conversion Prediction and Optimization

Nandakishor M

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Tokenization of Gaze Data

Tim Rolff, Jurik Karimian, Niklas Hypki, Susanne Schmidt, Markus Lappe, Frank Steinicke

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

debug-gym: A Text-Based Environment for Interactive Debugging

Xingdi Yuan, Morgane M Moss, Charbel El Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Assessing Generative Models for Structured Data

Reilly Cannon, Nicolette M. Laird, Caesar Vazquez, Andy Lin, Amy Wagler, Tony Chiang

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.AI、cs.LG

LakotaBERT: A Transformer-based Model for Low Resource Lakota Language

Kanishka Parankusham, Rodrigue Rizk, KC Santosh

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics

Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments Accepted to NAACL2025 Findings

MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments

Zhengsheng Guo, Linwei Zheng, Xinyang Chen, Xuefeng Bai, Kehai Chen, Min Zhang

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables

Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Yuyang Wang, Syama Sundar Rangapuram

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；pretraining(abstract)；分类 cs.AI、cs.LG

Comments Accepted at the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025

YouTube Comments Decoded: Leveraging LLMs for Low Resource Language Classification

Aniket Deroy, Subhankar Maity

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments Updated and Final Version

Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data

Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；preference optimization(abstract)；分类 cs.CL、cs.AI

Comments Accepted at ICLR 2025. Code and Checkpoints available here: https://github.com/Sreyan88/Synthio

From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities

Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；foundation model(abstract)；分类 cs.CL、cs.AI

From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning

Eric Zhao, Pranjal Awasthi, Nika Haghtalab

专题命中 预训练与数据 ：language model(abstract)；instruction tuning(abstract)；prompting(abstract)；分类 cs.CL、cs.LG

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Kunal Sawarkar, Abhilasha Mangal, Shivam Raj Solanki

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Paper accepted by MIPR and presented at The 7th IEEE International Conference on Multimedia Information. Processing and Retrieval (IEEE-MIPR 2024)

Journal ref IEEE 15 October 2024

The Impact of Persona-based Political Perspectives on Hateful Content Detection

Stefano Civelli, Pietro Bernardelle, Gianluca Demartini

专题命中 预训练与数据 ：language model(abstract)；pretraining(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments Companion Proceedings of the ACM Web Conference 2025 (WWW Companion'25)

Adversarial Training for Defense Against Label Poisoning Attacks

Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；foundation model(abstract)；分类 cs.AI、cs.LG

Comments Accepted at the International Conference on Learning Representations (ICLR 2025)

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts

Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Comments NAACL2025 Main

FedEAT: A Robustness Optimization Framework for Federated LLMs

Yahao Pang, Xingyuan Wu, Xiaojin Zhang, Wei Chen, Hai Jin

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos

Weirui Ye, Fangchen Liu, Zheng Ding, Yang Gao, Oleh Rybkin, Pieter Abbeel

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Assessing and Prioritizing Ransomware Risk Based on Historical Victim Data

Spencer Massengale, Philip Huff

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering

Longquan Jiang, Junbo Huang, Cedric Möller, Ricardo Usbeck

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted By ICSC 2025