Papers
LLM Safety for Children
Prasanjit Rath, Hari Shrawgi, Parag Agrawal et al.
Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain
Yuyang Li, Pjm Kerbusch, Rhr Pruim et al.
PLEX: Adaptive Parameter-Efficient Fine-Tuning for Code LLMs using Lottery-Tickets
Jaeseong Lee, Hojae Han, Jongyoon Kim et al.
Medical Spoken Named Entity Recognition
Khai Le-Duc, David Thulke, Hung-Phong Tran et al.
AutoKB: Automated Creation of Structured Knowledge Bases for Domain-Specific Support
Rishav Sahay, Arihant Jain, Purav Aggarwal et al.
VIT-Pro: Visual Instruction Tuning for Product Images
Vishnu Prabhakaran, Purav Aggarwal, Vishruit Kulshreshtha et al.
Goal-Driven Data Story, Narrations and Explanations
Aniya Aggarwal, Ankush Gupta, Shivangi Bithel et al.
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education
Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani et al.
Query Variant Detection Using Retriever as Environment
Minji Seo, Youngwon Lee, Seung-won Hwang et al.
Towards Reliable Agents: Benchmarking Customized LLM-Based Retrieval-Augmented Generation Frameworks with Deployment Validation
Kevin Shukang Wang, Karel Joshua Harjono, Ramon Lawrence
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting
Emmanuel Aboah Boateng, Cassiano O Becker, Nabiha Asghar et al.
Break-Ideate-Generate (BrIdGe): Moving beyond Translations for Localization using LLMs
Swapnil Gupta, Lucas Pereira Carlini, Prateek Sircar et al.
Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions
Yang Li, Yuan Shangguan, Yuhao Wang et al.
Granite Guardian: Comprehensive LLM Safeguarding
Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia et al.
Implementing Retrieval Augmented Generation Technique on Unstructured and Structured Data Sources in a Call Center of a Large Financial Institution
Syed Shariyar Murtaza, Yifan Nie, Elias Avan et al.
Natural Language Processing for Human Resources: A Survey
Naoki Otani, Nikita Bhutani, Estevam Hruschka
SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
Hitesh Laxmichand Patel, Amit Agarwal, Arion Das et al.
SuperRAG: Beyond RAG with Layout-Aware Graph Modeling
Chening Yang, Duy-Khanh Vu, Minh-Tien Nguyen et al.
Does Self-Attention Need Separate Weights in Transformers?
Md Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu et al.
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
Aman Goel, Xian Wu, Zhe Wang et al.
From Generating Answers to Building Explanations: Integrating Multi-Round RAG and Causal Modeling for Scientific QA
Victor Barres, Clifton James McFate, Aditya Kalyanpur et al.
Can Post-Training Quantization Benefit from an Additional QLoRA Integration?
Xiliang Zhu, Elena Khasanova, Cheng Chen
Evaluating Large Language Models with Enterprise Benchmarks
Bing Zhang, Mikio Takeuchi, Ryo Kawahara et al.
SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models
Grigor Nalbandyan, Rima Shahbazyan, Evelina Bakhturina
Visual Zero-Shot E-Commerce Product Attribute Value Extraction
Jiaying Gong, Ming Cheng, Hongda Shen et al.