Papers
Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization
Kawin Mayilvaghanan, Siddhant Gupta, Ayush Kumar
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
Savini Kashmira, Jayanaka L. Dantanarayana, Joshua Brodsky et al.
Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation
Seungseop Lim, Gibaeg Kim, Wooseok Han et al.
Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning
Zhiwei Li, Yong Hu, Wenqing Wang
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
Kayhan Behdin, Ata Fatahibaarzi, Qingquan Song et al.
Group, Embed and Reason: A Hybrid LLM and Embedding Framework for Semantic Attribute Alignment
Shramona Chakraborty, Shashank Mujumdar, Nitin Gupta et al.
How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts?
Xiliang Zhu, Shi Zong, David Rossouw
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
Fangyi Yu, Nabeel Seedat, Drahomira Herrmannova et al.
Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation
Anup Pattnaik, Sasanka Vutla, Hamvir Dev et al.
Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency
Aman Goel, Daniel Schwartz, Yanjun Qi
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
Weizhi Zhang, Liangwei Yang, Wooseong Yang et al.
LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators
Mateusz Lango, Ondrej Dusek
Leveraging LLMs to Streamline the Review of Public Funding Applications
João DS Marques, Andre Vicente Duarte, André Mendes Marques de Carvalho et al.
AttributeForge: An Agentic LLM Framework for Automated Product Schema Modeling
Yunhan Huang, Klevis Ramo, Andrea Iovine et al.
Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs
Qi Gou, Zehua Xia, Li Juan et al.
Semantic Agreement Enables Efficient Open-Ended LLM Cascades
Duncan Soiffer, Steven Kolawole, Virginia Smith
Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression
Yi Zhang, Kai Zhang, Zheyang Li et al.
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services
Fei Zhao, Chonggang Lu, Wangyue et al.
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction
Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury et al.
Toward Optimal LLM Alignments Using Two-Player Games
Rui Zheng, Hongyi Guo, Zhihan Liu et al.
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
Rui Lv, Qi Liu, Weibo Gao et al.
LLMsPark: A Benchmark for Evaluating Large Language Models in Strategic Gaming Contexts
Junhao Chen, Jingbo Sun, Xiang Li et al.
DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs
Xinyi Wang, Yiping Song, Chang Liu et al.
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
Xiang Liu, Penglei Sun, Shuyan Chen et al.
Improving LLM Reasoning through Interpretable Role-Playing Steering
Anyi Wang, Dong Shu, Yifan Wang et al.