Papers
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering
Yumeng Wang, Zhiyuan Fan, Qingyun Wang et al.
Semi-supervised Fine-tuning for Large Language Models
Junyu Luo, Xiao Luo, Xiusi Chen et al.
PREMISE: Matching-based Prediction for Accurate Review Recommendation
Wei Han, Hui Chen, Soujanya Poria
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
Jiatao Li, Xinyu Hu, Xunjian Yin et al.
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling
Zile Qiao, Wei Ye, Yong Jiang et al.
Advancing Persian LLM Evaluation
Sara Bourbour Hosseinbeigi, Behnam Rohani, Mostafa Masoudi et al.
LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages
Xuhan Huang, Qingning Shen, Yan Hu et al.
What Is Missing in Multilingual Visual Reasoning and How to Fix It
Yueqi Song, Simran Khanuja, Graham Neubig
LSDC: An Efficient and Effective Large-Scale Data Compression Method for Supervised Fine-tuning of Large Language Models
Zhaoguang Long, Yuhao Zhou, Shangqing Zhao et al.
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
Juanhui Li, Sreyashi Nag, Hui Liu et al.
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages
Abhishek Kumar Singh, Vishwajeet Kumar, Rudra Murthy et al.
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
Zezhong Wang, Xingshan Zeng, Weiwen Liu et al.
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
Weiqing Yang, Hanbin Wang, Zhenghao Liu et al.
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning
Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh et al.
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition
Qi Zhang, Huitong Pan, Zhijia Chen et al.
Syntriever: How to Train Your Retriever with Synthetic Data from LLMs
Minsang Kim, Seung Jun Baek
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
Zhenyue Qin, Yu Yin, Dylan Campbell et al.
Considering Length Diversity in Retrieval-Augmented Summarization
Juseon-Do, Jaesung Hwang, Jingun Kwon et al.
Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model
Jiali Chen, Xusen Hei, Yuqi Xue et al.
FIDELITY: Fine-grained Interpretable Distillation for Effective Language Insights and Topic Yielding
Divyansh Singh, Brodie Mather, Demi Zhang et al.
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design
Yuanfu Sun, Zhengnan Ma, Yi Fang et al.
DiVISe: Direct Visual-Input Speech Synthesis Preserving Speaker Characteristics And Intelligibility
Yifan Liu, Yu Fang, Zhouhan Lin
On Localizing and Deleting Toxic Memories in Large Language Models
Anubrata Das, Manoj Kumar, Ninareh Mehrabi et al.
Neuro-symbolic Training for Reasoning over Spatial Language
Tanawan Premsri, Parisa Kordjamshidi