Papers
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
Seonghyeon Lee, HeeJae Chon, Joonwon Jang et al.
Multi-Surrogate-Objective Optimization for Neural Topic Models
Tue Le, Hoang Tran Vuong, Tung Nguyen et al.
Exploring Hyperbolic Hierarchical Structure for Multimodal Rumor Detection
Md Mahbubur Rahman, Shufeng Hao, Chongyang Shi et al.
Structural Patent Classification Using Label Hierarchy Optimization
Mengting Gui, Shufeng Hao, Chongyang Shi et al.
Toward Optimal LLM Alignments Using Two-Player Games
Rui Zheng, Hongyi Guo, Zhihan Liu et al.
Can Large Language Models Personalize Dialogues to Generational Styles?
Pier Felice Balestrucci, Ondrej Dusek, Luca Anselma et al.
Boundary Matters: Leveraging Structured Text Plots for Long Text Outline Generation
Yuanchi Ma, Jiamou Liu, Hui He et al.
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions
Chenming Tang, Zhixiang Wang, Hao Sun et al.
Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification
Takuma Udagawa, Yang Zhao, Hiroshi Kanayama et al.
Automating Alternative Generation in Decision-Making
Yevhen Kostiuk, Clara Seyfried, Chris Reed
Continual Learning of Large Language Models
Tongtong Wu, Trang Vu, Linhao Luo et al.
Neuro-Symbolic Natural Language Processing
André Freitas, Marco Valentino, Danilo Silva de Carvalho
Data and Model Centric Approaches for Expansion of Large Language Models to New languages
Anoop Kunchukuttan, Raj Dabre, Rudra Murthy et al.
NLP+Code: Code Intelligence in Language Models
Terry Yue Zhuo, Qian Liu, Zijian Wang et al.
Spoken Conversational Agents with Large Language Models
Huck Yang, Andreas Stolcke, Larry P. Heck
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
Zhihan Zhang, Renze Lou, Fangkai Jiao et al.
Efficient Inference for Large Language Models –Algorithm, Model, and System
Xuefei Ning, Guohao Dai, Haoli Bai et al.
AutoDSPy: Automating Modular Prompt Design with Reinforcement Learning for Small and Large Language Models
Nafew Azim, Abrar Ur Alam, Hasan Bin Omar et al.
Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information
Hojun Cho, Donghu Kim, Soyoung Yang et al.
CAPSTONE: Composable Attribute‐Prompted Scene Translation for Zero‐Shot Vision–Language Reasoning
Md. Ismail Hossain, Shahriyar Zaman Ridoy, Moshiur Farazi et al.
Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk Appetite?
Divij Chawla, Ashita Bhutada, Duc Anh Do et al.
FQ-Eval: Building Evaluation Dataset for User-centered Follow-up Question Generation
Sanghyun Seo, Bumsoo Kang, Dahm Lee et al.
GEAR: A Scalable and Interpretable Evaluation Framework for RAG-Based Car Assistant Systems
Niloufar Beyranvand, Hamidreza Dastmalchi, Aijun An et al.
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers
Zhiyuan Peng, Ting-Ruen Wei, Tingyu Song et al.