2 citations · 2 across the 16 of their papers we have counts for
7 papers · 1 filter
Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P
Anurag Dutt, Young Won Choi, Avirup Sil +3
With the widespread adoption of Large Language Models (LLMs), energy costs of running LLMs is quickly becoming a critical concern. However, precisely measuring the energy consumpti…
Handling Open-Vocabulary Constructs in Formalizing Specifications: Retrieval-Augmented Parsing with Expert Knowledge
Mohammad Saqib Hasan, Sayontan Ghosh, Dhruv Verma +4
We study the problem of Open-Vocabulary Constructs(OVCs) -- ones not known beforehand -- in the context of converting natural language (NL) specifications into formal languages (e.…
ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models
Biddut Sarker Bijoy, Mohammad Saqib Hasan, Pegah Alipoormolabashi +3
Multi-agent systems with smaller language models (SLMs) present a viable alternative to single agent systems powered by large language models (LLMs) for addressing complex problems…
MuSciClaims: Multimodal Scientific Claim Verification
Yash Kumar Lal, Manikanta Bandham, Mohammad Saqib Hasan +3
Assessing scientific claims requires identifying, extracting, and reasoning with multimodal data expressed in information-rich figures in scientific literature. Despite the large b…
Quantifying Misattribution Unfairness in Authorship Attribution
Pegah Alipoormolabashi, Ajay Patel, Niranjan Balasubramanian
Authorship misattribution can have profound consequences in real life. In forensic settings simply being considered as one of the potential authors of an evidential piece of text o…
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker +1
LLM generated code often contains security issues. We address two key challenges in improving secure code generation. First, obtaining high quality training data covering a broad s…
: A Dataset for ynamic nformation nd ental modeling f umeric iscussions
Sayontan Ghosh, Mahnaz Koupaee, Yash Kumar Lal +4
Understanding multiparty conversations demands robust Theory of Mind (ToM) capabilities, including the ability to track dynamic information, manage knowledge asymmetries, and disti…