Papers
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
Tong Zhu, Daize Dong, Xiaoye Qu et al.
MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction
Shaopeng Tang, Lin Li, Xiaohui Tao et al.
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
Tianyu Liu, Jirui Qi, Paul He et al.
Investigating Human Values in Online Communities
Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee et al.
A Multi-modal Large Language Model with Graph-of-Thought for Effective Recommendation
Zixuan Yi, Iadh Ounis
Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding
Xinhao Xu, Hui Chen, Mengyao Lyu et al.
Detect, Disambiguate, and Translate: On-Demand Visual Reasoning for Multimodal Machine Translation with Large Vision-Language Models
Danyang Liu, Fanjie Kong, Xiaohang Sun et al.
What Did I Do Wrong? Quantifying LLMs’ Sensitivity and Consistency to Prompt Engineering
Federico Errica, Davide Sanvito, Giuseppe Siracusano et al.
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
Peng Hu, Sizhe Liu, Changjiang Gao et al.
CompAct: Compressed Activations for Memory-Efficient LLM Training
Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki et al.
Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models
Xiyang Liu, Chunming Hu, Richong Zhang et al.
RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models
Donghao Huang, Thanh-Son Nguyen, Fiona Liausvia et al.
ITALIC: An Italian Culture-Aware Natural Language Benchmark
Andrea Seveso, Daniele Potertì, Edoardo Federici et al.
On the Role of Speech Data in Reducing Toxicity Detection Bias
Samuel Bell, Mariano Coria Meglioli, Megan Richards et al.
Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models
Haoran Liao, Shaohua Hu, Zhihao Zhu et al.
Can LLMs Convert Graphs to Text-Attributed Graphs?
Zehong Wang, Sidney Liu, Zheyuan Zhang et al.
Little Giants: Synthesizing High-Quality Embedding Data at Scale
Haonan Chen, Liang Wang, Nan Yang et al.
Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement
Qianyue Wang, Jinwu Hu, Zhengping Li et al.
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
Jie Feng, Yuwei Du, Jie Zhao et al.
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs
Bichen Wang, Yuzhe Zi, Yixin Sun et al.
Evaluating Morphological Compositional Generalization in Large Language Models
Mete Ismayilzada, Defne Circi, Jonne Sälevä et al.
Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model
Kuniaki Saito, Chen-Yu Lee, Kihyuk Sohn et al.
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors
Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova et al.
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
Yeonjun In, Sungchul Kim, Ryan A. Rossi et al.