5 papers
A Dynamic Self-Evolving Extraction System
Moin Amin-Naseri, Hannah Kim, Estevam Hruschka
The extraction of structured information from raw text is a fundamental component of many NLP applications, including document retrieval, ranking, and relevance estimation. High-qu…
Reflective Prompt Tuning through Language Model Function-Calling
Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour +1
Large language models (LLMs) have become increasingly capable of following instructions and complex reasoning, making prompting a flexible interface for adapting models without par…
Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications
Moin Aminnaseri, Farima Fatahi Bayat, Nikita Bhutani +17
NL2SQL systems aim to address the growing need for natural language interaction with data. However, real-world information rarely maps to a single SQL query because (1) users expre…
Align then Train: Efficient Retrieval Adapter Learning
Seiji Maekawa, Moin Aminnaseri, Pouya Pezeshkpour +1
Dense retrieval systems increasingly need to handle complex queries. In many realistic settings, users express intent through long instructions or task-specific descriptions, while…
Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict
Pouya Pezeshkpour, Moin Aminnaseri, Estevam Hruschka
Vision-language models (VLMs) have demonstrated impressive performance by effectively integrating visual and textual information to solve complex tasks. However, it is not clear ho…