5 citations · 9 across the 22 of their papers we have counts for
20 papers · 1 filter
SurveyAgent-HKA: A multi-agent framework for scientific survey generation with LLMs and human knowledge augmentation
Tong Bao, Mir Tafseer Nayeem, Yi Zhao +2
Automatic scientific survey generation has become an important task in scientific document processing. The common approach of retrieving literature from a single source (e.g., arXi…
PARTAB: Partition-Aware Reasoning with Structured Evidence for Scalable Table Understanding
Md Mahadi Hasan Nahid, Davood Rafiei
Large Language Models (LLMs) have shown strong capabilities in table reasoning, but their effectiveness degrades as tables grow in size and complexity due to irrelevant context and…
EdgeLM: Edge Demonstrations for Language Models' Table Understanding
Soroush Omidvartehrani, Mohammadamin Habibollah, Mohammadreza Daviran +1
Large language models (LLMs) perform table-centric prediction through in-context learning, making demonstration selection critical to performance. Existing retrieval methods priori…
FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents
Quang Hieu Pham, Yang He, Ping Nie +5
Text-to-SQL over large analytical databases requires navigating complex schemas, resolving ambiguous queries, and grounding decisions in actual data. Most current systems follow a…
Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models
Mir Tafseer Nayeem, Davood Rafiei
Large language models (LLMs) are increasingly deployed in high-stakes domains, yet they expose only limited language settings, most notably "English (US)," despite the global diver…
OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviews
Mir Tafseer Nayeem, Davood Rafiei
We study the problem of opinion highlights generation from large volumes of user reviews, often exceeding thousands per entity, where existing methods either fail to scale or produ…