5 citations · 8 across the 12 of their papers we have counts for
4 papers · 1 filter
SymCode: A Neurosymbolic Approach to Mathematical Reasoning via Verifiable Code Generation
Sina Bagheri Nezhad, Yao Li, Ameeta Agrawal
Large Language Models (LLMs) often struggle with complex mathematical reasoning, where prose-based generation leads to unverified and arithmetically unsound solutions. Current prom…
Enhancing Large Language Models with Neurosymbolic Reasoning for Multilingual Tasks
Sina Bagheri Nezhad, Ameeta Agrawal
Large language models (LLMs) often struggle to perform multi-target reasoning in long-context scenarios where relevant information is scattered across extensive documents. To addre…
Polynomial-Time Constant-Approximation for Fair Sum-of-Radii Clustering
Sina Bagheri Nezhad, Sayan Bandyapadhyay, Tianzhi Chen
In a seminal work, Chierichetti et al. introduced the -fair clustering problem: Given a set of red points and a set of blue points in a metric space, a clustering is called…
The Impact of Model Scaling on Seen and Unseen Language Performance
Rhitabrat Pokharel, Sina Bagheri Nezhad, Ameeta Agrawal +1
The rapid advancement of Large Language Models (LLMs), particularly those trained on multilingual corpora, has intensified the need for a deeper understanding of their performance…