Accepted Papers
We received 78 paper submissions. Among 71 active submissions, we accepted 34 papers (acceptance rate: 47.9%). Additionally, we accepted 5 papers from findings and previous *CL conferences as part of our program.
Archival (25)
- Navigate Complex Physical Worlds via Geometrically Constrained LLM
Yongqiang Huang | Wentao Ye | Liyao Li | Junbo Zhao - Empowering AAC Users: A Systematic Integration of Personal Narratives with Conversational AI
Sayantan Pal | Souvik Das | Rohini Srihari | Jeff Higginborham | Jenna Bizovi - LLM-Based Robust Product Classification in Commerce and Compliance
Sina Gholamian | Gianfranco Romani | Bartosz Rudnikowicz | Stavroula Skylaki - Less is Fed More: Sparsity Reduces Feature Distortion in Federated Learning
Abhinav Sukumar Rao | Aashiq Muhamed | Harshita Diddee - Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study
Tianze Wang | Maryam Honarijahromi | Styliani Katsarou | Olga Mikheeva | Theodoros Panagiotakopoulos | Oleg Smirnov | Lele Cao | Sahar Asadi - L3Masking: Multi-task Fine-tuning for Language Models by Leveraging Lessons Learned from Vanilla Models
Yusuke Kimura | Takahiro Komamizu | Kenji Hatano - Grounded Language Agent for Product Search via Intelligent Web Interactions
Moghis Fereidouni | Adib Mosharrof | A.b. Siddique - AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
Anum Afzal | Ribin Chalumattu | Florian Matthes | Laura Mascarell - CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks
Nikita Haduong | Irene Wang | Bo-Ru Lu | Prithviraj Ammanabrolu | Noah A. Smith - Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios
Sabit Hassan | Anthony Sicilia | Malihe Alikhani - Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy
Tagore Rao Kosireddy | Jeffrey David Wall | Evan Lucas - Customized Style Transfer using Discrete Sampling
Anugunj Naman - Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders
Xiaofeng Zhu | Jaya Krishna Mandivarapu - Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
Ravi Shanker Raju | Swayambhoo Jain | Bo Li | Jonathan Lingjie Li | Urmish Thakker - Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains
Joongbo Shin | Youbin Ahn | Seungpil Won | Stanley Jungkyu Choi - Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
Sheshera Mysore | Zhuoran Lu | Mengting Wan | Longqi Yang | Bahareh Sarrafzadeh | Steve Menezes | Tina Baghaee | Emmanuel Barajas Gonzalez | Jennifer Neville | Tara Safavi - Evaluating and Training Long-Context Large Language Models for Question Answering on Scientific Papers
Lukas Hilgert | Danni Liu | Jan Niehues - HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
Rishi Kalra | Zekun Wu | Ayesha Gulley | Airlie Hilliard | Xin Guan | Adriano Koshiyama | Philip Colin Treleaven - What Kind of Sourcery is This? Evaluating GPT-4’s Performance on Linking Scientific Fact to Citations
Autumn Toney - “Let’s Argue Both Sides”: Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities
Kaveh Eskandari Miandoab | Vasanth Sarathy - LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction
Jieun Han | Haneul Yoo | Junho Myung | Minsun Kim | Hyunseung Lim | Yoonsu Kim | Tak Yeon Lee | Hwajung Hong | Juho Kim | So-Yeon Ahn | Alice Oh - E-Commerce Product Categorization with LLM-based Dual-Expert Classification Paradigm
Zhu Cheng | Wen Zhang | Chih-Chi Chou | You-Yi Jau | Archita Pathak | Peng Gao | Umit Batur - Adapting LLM Predictions in In-Context Learning with Data Priors
Javier Chiyah-Garcia | Prasoon Goyal | Michael Johnston | Reza Ghanadan - V-GlĂłrIA - Customizing Large Vision and Language Models to European Portuguese
Afonso SimplĂcio | David Semedo | Joao Magalhaes - Exploring the Potential of Large Language Models to Simulate Personality
Maria Molchanova | Anna Mikhailova | Anna Korzanova | Lidiia Ostyakova | Alexandra Dolidze
Non-Archival (9)
- KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
WenHao Wang | Xiaoyu Liang | Rui Ye, Jingyi Chai | Yanfeng Wang | Siheng Chen - EPR: An Expert Behavior-enhanced Paper Ranking Framework for the Automotive Industry
WooJoo Kim | Joonwon Jang | JinYi Yu, YunSu Jeon | Hwanjo Yu - Large Language Models and Knowledge Graphs for Enhanced Supply Chain Visibility
Sara Almahri | Liming Xu | Alexandra Brintrup - Does This Summary Answer My Question? Modeling Query-Focused Summary Readers with Rational Speech Acts
Cesare Spinoso-Di Piano | Jackie CK Cheung - LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
Minsun Kim | SeonGyeom Kim | Suyoun Lee | Yoosang Yoon | Junho Myung | Haneul Yoo | Hyunseung Lim | Jieun Han | Yoonsu Kim | So-Yeon Ahn | Juho Kim | Alice Oh | Hwajung Hong | Tak Yeon Lee - Authorship Style Transfer with Policy Optimization
Shuai Liu | Shantanu Agarwal | Jonathan May - Predicting Downstream Performance in LLMs
Yangyi Chen | Binxuan Huang | Yifan Gao | Zhengyang Wang | Jingfeng Yang | Heng Ji - Vocabulary Transfer for Biomedical Texts: Add Tokens if You Can Not Add Data
Priyanka Singh | Vladislav D. Mosin | Ivan P. Yamshchikov - Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
Yu-Min Tseng | Yu-Chao Huang | Teng-Yun Hsiao | Wei-Lin Chen | Chao-Wei Huang | Yu Meng | Yun-Nung Chen
Findings Papers (5)
- Can LLM be a Personalized Judge?
Yijiang River Dong | Tiancheng Hu | Nigel Collier - Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging
Priyanka Kargupta | Ishika Agarwal | Dilek Hakkani Tur | Jiawei Han - Extrinsic Evaluation of Cultural Competence in Large Language Models
Shaily Bhatt | Fernando Diaz - DOLOMITES: Domain-Specific Long-Form Methodical Tasks
Chaitanya Malaviya | Priyanka Agrawal | Kuzman Ganchev | Pranesh Srinivasan | Fantine Huot | Jonathan Berant | Mark Yatskar | Dipanjan Das | Mirella Lapata | Chris Alberti - Learning to Decode Collaboratively with Multiple Language Models
Zejiang Shen | Hunter Lang | Bailin Wang | Yoon Kim | David Sontag