• Entity Retrieval for Answering Entity-Centric Questions Hassan Shavarani, Anoop Sarkar [Link]
• ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis James P. Beno [Link]
• Retrieval of Temporal Event Sequences from Textual Descriptions Zefang Liu, Yinzhu Quan [Link]
• Generating Tables from the Parametric Knowledge of Language Models Yevgeni Berkovitch, Oren Glickman, Amit Somech, Tomer Wolfson [Link]
• Investigating Large Language Models for Text-to-SPARQL Generation Jacopo D'Abramo, Andrea Zugarini, Paolo Torroni [Link]
• GAVEL: Generative Attribute-Value Extraction Using LLMs on LLM-Augmented Datasets Pollawat Hongwimol, DONG SHENG, Li Zhang, Kai Liu, Xiufei Wang [Link]
• Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation Bryan Li, Jiaming Luo, Eleftheria Briakou, Colin Cherry [Link]
• Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation Manish Bhattarai, Minh N. Vu, Javier E. Santos, Ismael, Daniel O'Malley [Link]
• LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning Shuguang Chen, Guang Lin [Link]
• RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs Dewang Sultania, Vibha Belavadi, Tushar Vatsa, Suhas Suresha, Ishita Verma, Tracy Holloway King, mifriedr@adobe.com, Cheng Chen [Link]
• OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning Pan Lu, Bowen Chen, Sheng Liu, Rahul Thapa, Joseph Boen, James Zou [Link]
• StoC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering Zhenyu Bi, Daniel Hajialigol, Zhongkai Sun, Jie Hao, Xuan Wang [Link]
• EKRAG: Benchmark RAG for Enterprise Knowledge Question Answering Tan Yu, Wenfei Zhou, leiyang@nvidia.com, Aaditya Shukla, mmadugula@nvidia.com, Pritam Gundecha, Nicholas Burnett, Anbang Xu, viseth@nvidia.com, tbar@nvidia.com, Rama Akkiraju, Vivienne Zhang [Link]
• BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression Yuankai Li, Jia-Chen Gu, Di Wu, Kai-Wei Chang, Nanyun Peng [Link]
• Self-Routing RAG: Binding Selective Retrieval with Knowledge Verbalization Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng [Link]
• Retrieval Augmented Generation based Large Language Models for Causality Mining Thushara Manjari Naduvilakandy, Mohammad Hasan, Hyeju Jang [Link]
• Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs Mirazul Haque, Petr Babkin, Farima Farmahinifarahani, Manuela Veloso [Link]
• A Novel Multi-Document Retrieval Benchmark: Journalist Source-Selection in Newswriting Alexander Spangher, Tenghao Huang, Yiqin Huang, Lucas Spangher, Sewon Min, Mark Dredze [Link]
• HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning Manish Bhattarai, Ryan Barron, Maksim E. Eren, Minh N. Vu, Vesselin Grantcharov, Ismael, Valentin Stanev, Cynthia Matuszek, Vladimir I Valtchinov, Kim Rasmussen, Boian S. Alexandrov [Link]
• Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation Priyaranjan Pattnayak, Amit Agarwal, Hansa Meghwani, Hitesh Laxmichand Patel, Srikant Panda [Link]
• Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning Md Rizwan Parvez [Link]
• KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs Elan Sopher Markowitz, Krupa Galiya, Greg Ver Steeg, Aram Galstyan [Link]
• Expertly Informed, Generatively Summarized: A Hybrid RAG Approach to Informed Consent Summarization with Auxiliary Expert Knowledge Autumn Toney, rsw66@georgetown.edu, calebs@med.umich.edu [Link]
• MSR$^2$: A Benchmark for Multi-Source Retrieval and Reasoning in Visual Question Answering Kuo-Han Hung, Hung-Chieh Fang, Chao-Wei Huang, Yun-Nung Chen [Link]
• PROPEL: Prompt Optimization with Expert Priors for Small and Medium-sized LLMs Kawin Mayilvaghanan, Varun Nathan, Ayush Kumar [Link]
• ClaimCheck: Automatic Fact-Checking of Textual Claims using Web Evidence Akshith Reddy Putta, Jacob Devasier, Chengkai Li [Link]
• Can dependency parses facilitate generalization in language models? A case study of cross-lingual relation extraction Ritam Dutt, Shounak Sural, Carolyn Rose [Link]
• Can dependency parses facilitate generalization in language models? A case study of cross-lingual relation extraction Ritam Dutt, Shounak Sural, Carolyn Rose [Link]
• DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems Anni Zou, Wenhao Yu, Hongming Zhang, Kaixin Ma, Deng Cai, Zhuosheng Zhang, Hai Zhao, Dong Yu [Link]