Papers
RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho et al.
ProConSuL: Project Context for Code Summarization with LLMs
Vadim Lomshakov, Andrey Podivilov, Sergey Savin et al.
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
Zhuowan Li, Cheng Li, Mingyang Zhang et al.
Adapting LLMs for Structured Natural Language API Integration
Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind et al.
Systematic Evaluation of Long-Context LLMs on Financial Concepts
Lavanya Gupta, Saket Sharma, Yiyun Zhao
Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications
Divyansh Agarwal, Alexander Fabbri, Ben Risher et al.
Sequential LLM Framework for Fashion Recommendation
Han Liu, Xianfeng Tang, Tianlang Chen et al.
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output
Hithesh Sankararaman, Mohammed Nasheed Yasin, Tanner Sorensen et al.
PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents
Vijit Malik, Akshay Jagatap, Vinayak S Puranik et al.
RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation
Juntong Song, Xingguang Wang, Juno Zhu et al.
Intent Detection in the Age of LLMs
Gaurav Arora, Shreya Jain, Srujana Merugu
Enhancing LLM Capabilities Beyond Scaling Up
Wenpeng Yin, Muhao Chen, Rui Zhang et al.
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
Kangda Wei, Aayush Gautam, Ruihong Huang
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
Jielin Qiu, Andrea Madotto, Zhaojiang Lin et al.
LLM Questionnaire Completion for Automatic Psychiatric Assessment
Gony Rosenman, Talma Hendler, Lior Wolf
Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets
Israel Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay et al.
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering
Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda et al.
Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction
Chenlong Deng, Kelong Mao, Yuyao Zhang et al.
Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks
Shengnan An, Zexiong Ma, Siqi Cai et al.
Devil’s Advocate: Anticipatory Reflection for LLM Agents
Haoyu Wang, Tao Li, Zhiwei Deng et al.
Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs
Anqi Li, Yu Lu, Nirui Song et al.
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
Tongxin Yuan, Zhiwei He, Lingzhong Dong et al.
Reconfidencing LLMs from the Grouping Loss Perspective
Lihu Chen, Alexandre Perez-Lebel, Fabian M. Suchanek et al.
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Yubo Wang, Xueguang Ma, Wenhu Chen
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling
Yao-Ching Yu, Chun Chih Kuo, Ye Ziqi et al.