4 papers
Improving LLM Reliability through Hybrid Abstention and Adaptive Detection
Ankit Sharma, Nachiket Tapas, Jyotiprakash Patra
Large Language Models (LLMs) deployed in production environments face a fundamental safety-utility trade-off either a strict filtering mechanisms prevent harmful outputs but often…
LightTopoGAT: Enhancing Graph Attention Networks with Topological Features for Efficient Graph Classification
Ankit Sharma, Sayan Roy Gupta
Graph Neural Networks have demonstrated significant success in graph classification tasks, yet they often require substantial computational resources and struggle to capture global…
Hierarchical corpus encoder: Fusing generative retrieval and dense indices
Tongfei Chen, Ankita Sharma, Adam Pauls +1
Generative retrieval employs sequence models for conditional generation of document IDs based on a query (DSI (Tay et al., 2022); NCI (Wang et al., 2022); inter alia). While this h…
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin, Chenyan Xiong, Ashwin Srinivasan +3
Dense retrieval (DR) methods conduct text retrieval by first encoding texts in the embedding space and then matching them by nearest neighbor search. This requires strong locality…