Papers
How Well Do Large Language Models Extract Keywords? A Systematic Evaluation on Scientific Corpora
Nacef Ben Mansour, Hamed Rahimi, Motasem Alrahabi
Variable Extraction for Model Recovery in Scientific Literature
Chunwei Liu, Enrique Noriega-Atala, Adarsh Pyarelal et al.
Position Really Matters: Towards a Holistic Approach for Prompt Tuning
Xianjun Yang, Wei Cheng, Xujiang Zhao et al.
Seeds of Discourse: A Multilingual Corpus of Direct Quotations from African Media on Agricultural Biotechnologies
Patricia Chiril, Trevor Spreadbury, Joeva Sean Rock et al.
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation
Palaash Goel, Dushyant Singh Chauhan, Md Shad Akhtar
The Role of Prosody in Spoken Question Answering
Jie Chi, Maureen de Seyssel, Natalie Schluter
Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
Myrthe Reuver, Indira Sen, Matteo Melis et al.
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics
Seungbeen Lee, Seungwon Lim, Seungju Han et al.
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages
Poulami Ghosh, Raj Dabre, Pushpak Bhattacharyya
Evaluating Numeracy of Language Models as a Natural Language Inference Task
Rahmad Mahendra, Damiano Spina, Lawrence Cavedon et al.
Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction
Kritarth Prasad, Mohammadi Zaki, Pratik Rakesh Singh et al.
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning
Ahmed Elshabrawy, Yongxin Huang, Iryna Gurevych et al.
PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree
Xiang Li, Zhiyi Yin, Hexiang Tan et al.
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
CheolWon Na, YunSeok Choi, Jee-Hyong Lee
Hierarchical Speculative Decoding with Dynamic Window
Shensian Syu, Hung-yi Lee
Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples
Zhilan Wang, Zekai Zhi, Rize Jin et al.
MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts
Lin Ning, Harsh Lara, Meiqi Guo et al.
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
Yue Zhang, Leyang Cui, Wei Bi et al.
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
Yu Wang, Jiaxin Zhang, Xiang Gao et al.
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
Yuelin Bai, Xeron Du, Yiming Liang et al.
Demystifying the Power of Large Language Models in Graph Generation
Yu Wang, Ryan A. Rossi, Namyong Park et al.
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
Shilong Li, Yancheng He, Hui Huang et al.
ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
Millennium Bismay, Xiangjue Dong, James Caverlee
SimulBench: Evaluating Language Models with Creative Simulation Tasks
Qi Jia, Xiang Yue, Tuney Zheng et al.
GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
Qiming Wu, Zichen Chen, Will Corcoran et al.