3 citations · 5 across the 5 of their papers we have counts for
5 papers
COSMIR: Chain Orchestrated Structured Memory for Iterative Reasoning over Long Context
Naman Gupta, Shreeyash Gowaikar, Arun Iyer +6
Reasoning over very long inputs remains difficult for large language models (LLMs). Common workarounds either shrink the input via retrieval (risking missed evidence), enlarge the…
An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions
Shreeyash Gowaikar, Srinivasan Iyengar, Sameer Segal +1
The Piping and Instrumentation Diagrams (P&IDs) are foundational to the design, construction, and operation of workflows in the engineering and process industries. However, their m…
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces
Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani +3
Advancements in AI heavily rely on large-scale datasets meticulously curated and annotated for training. However, concerns persist regarding the transparency and context of data co…
From Efficiency to Equity: Measuring Fairness in Preference Learning
Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani +1
As AI systems, particularly generative models, increasingly influence decision-making, ensuring that they are able to fairly represent diverse human preferences becomes crucial. Th…
ANALOGICAL -- A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal G. Gajera +6
Over the past decade, analogies, in the form of word-level analogies, have played a significant role as an intrinsic measure of evaluating the quality of word embedding methods suc…