Papers
Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning
Yoichi Ishibashi, Taro Yano, Masafumi Oyamada
PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection
Sepideh Mamooler, Syrielle Montariol, Alexander Mathis et al.
Soft Language Prompts for Language Transfer
Ivan Vykopal, Simon Ostermann, Marian Simko
One Unified Model for Diverse Tasks: Emotion Cause Analysis via Self-Promote Cognitive Structure Modeling
Zhaoxin Yu, Xinglin Xiao, Wenji Mao
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
Sungjin Park, Xiao Liu, Yeyun Gong et al.
Evaluating and Improving Graph to Text Generation with Large Language Models
Jie He, Yijun Yang, Wanqiu Long et al.
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval
Tingyu Song, Guo Gan, Mingsheng Shang et al.
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Tongxuan Liu, Wenjiang Xu, Weizhe Huang et al.
Self-calibration for Language Model Quantization and Pruning
Miles Williams, George Chrysostomou, Nikolaos Aletras
AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems
Arihant Jain, Purav Aggarwal, Rishav Sahay et al.
MILU: A Multi-task Indic Language Understanding Benchmark
Sshubam Verma, Mohammed Safi Ur Rahman Khan, Vishwajeet Kumar et al.
Measuring and Benchmarking Large Language Models’ Capabilities to Generate Persuasive Language
Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
Zhenpeng Su, Xing W, Zijia Lin et al.
MiCEval: Unveiling Multimodal Chain of Thought’s Quality via Image Description and Reasoning Steps
Xiongtao Zhou, Jie He, Lanyu Chen et al.
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
Sangwon Yu, Jongyoon Song, Bongkyu Hwang et al.
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
Liping Liu, Chunhong Zhang, Likang Wu et al.
DCE-LLM: Dead Code Elimination with Large Language Models
Minyu Chen, Guoqiang Li, Ling-I Wu et al.
Assessing the State of the Art in Scene Segmentation
Albin Zehe, Elisabeth Fischer, Andreas Hotho
MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation
Junqing He, Liang Zhu, Rui Wang et al.
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
David Wan, Justin Chen, Elias Stengel-Eskin et al.
Palette of Language Models: A Solver for Controlled Text Generation
Zhe Yang, Yi Huang, Yaqin Chen et al.
Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge
Li Zhou, Taelin Karidi, Wanlong Liu et al.
Grammar Control in Dialogue Response Generation for Language Learning Chatbots
Dominik Glandorf, Peng Cui, Detmar Meurers et al.
Coverage-based Fairness in Multi-document Summarization
Haoyuan Li, Yusen Zhang, Rui Zhang et al.