Papers
SARA: Leveraging LLM Agents and Jurisprudential Ontologies for Automated Legal Reasoning
Francisco C J Bonfim, Sara Pessoa SIlva, Alicia S Neves et al.
PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
Abhishek Divekar, Anirban Majumder
Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
Pranjal Gupta, Karan Bhukar, Harshit Kumar et al.
Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design
Junhua Liu, Fanfan Lin, Xinze Li et al.
AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture
Qiming Guo, Bishal Khatri, Wenbo Sun et al.
A Metacognitive Architecture for Correcting LLM Errors in AI Agents
Jisu Kim, Mahimul Islam, Ashok Goel
LLM4Sweat: A Trustworthy Large Language Model for Hyperhidrosis Support
Wenjie Lin, Jin Wei-Kocsis
TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems
Yabo Ni, Cao Yuanpeng, Wenhang Zhou et al.
Stratos: An End-to-End Distillation Pipeline for Customized LLMs Under Distributed Cloud Environments
Ziming Dai, Tuo Zhang, Fei Gao et al.
EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants
Meenakshi Mittal, Rishi Khare, Mihran Miroyan et al.
SAGE: A Compositional Multi-Agent LLM Framework with Pedagogical Reasoning for Structured Collaborative Problem Solving
Van-Khanh Tran, Van-Khai Dang, Duc-Huy Nguyen
Empowering LLMs with Symbolic Representation and Reasoning
Fengxiang Cheng
Always Refuse: Steering LLMs Against Jailbreaks with Contrastive Activations (Student Abstract)
Abhilekh Borah, Niranjan Chebrolu, Kokil Jaidka
Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning (Student Abstract)
Rui Jerry Huang, Anastasia Miin, Wendy Liu
When Reasoning Collapses: A Depth-Aware Probe into LLM Reasoning (Student Abstract)
Azka Ikramullah, Abdul Majeed, Kyunghyun Lee et al.
MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract)
Minkyung Song, Soyoung Park, Sungsu Lim
APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract)
Yian Wang, Ye Qiao, Sitao Huang et al.
Do Large Language Models (LLMs) Understand Chronology? (Student Abstract)
Pattaraphon Kenny Wongchamcharoen, Paul Glasserman
Native Speech Processing with LLMs
Aaron Soh