1 citations · 3 across the 30 of their papers we have counts for
12 papers · 1 filter
Learning to Ideate for Scientific Impact
Shubham Kale, Aniketh Garikaparthi, Manasi Patwardhan
Scientific ideation is increasingly mediated by large language models, but current ideation systems are usually trained and evaluated on immediately judgeable proxies such as novel…
BackTrend: Evaluating Scientific Weak-Signal Prediction via Backward Reconstruction
Xiao Zhou, Yilun Zhao, Owen Jiang +4
Scientific weak signals are early, low-visibility research directions that later become central to mature scientific topics, yet existing resources such as trend tracking, citation…
Surprising Effectiveness of Self-Demonstrations in Enhancing Schema-Ontology Mapping with LLMs
Siddhesh Thombre, Manasi Patwardhan, Sunita Sarawagi
Integrating heterogeneous relational databases into a centralized ontology remains a persistent challenge in enterprise knowledge representation, primarily due to semantic heteroge…
Can Scientific Claims Be Removed from Large Language Models? A Systematic Evaluation of Claim-Level Unlearning
Snigdha Paul, Manasi Patwardhan, Arman Cohan
Language models (LMs) are trained on static scientific corpora, whereas scientific knowledge continuously evolves through correction and revision. Scientific claims encoded within…
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results
Jan Batzner, Sree Harsha Nelaturu, Damian Stachura +45
AI evaluations are widely used for testing and understanding progress. However, the diverse evaluators bring with them inconsistencies that challenge analysis and comparison. First…
Defend: Automated Rebuttals for Peer Review with Minimal Author Guidance
Jyotsana Khatri, Manasi Patwardhan
Rebuttal generation is a critical component of the peer review process for scientific papers, enabling authors to clarify misunderstandings, correct factual inaccuracies, and guide…
ResearchGym: Evaluating Language Model Agents on Real-World AI Research
Aniketh Garikaparthi, Manasi Patwardhan, Arman Cohan
We introduce ResearchGym, a benchmark and execution environment for evaluating AI agents on end-to-end research. To instantiate this, we repurpose five oral and spotlight papers fr…
Routing End User Queries to Enterprise Databases
Saikrishna Sudarshan, Tanay Kulkarni, Manasi Patwardhan +3
We address the task of routing natural language queries in multi-database enterprise environments. We construct realistic benchmarks by extending existing NL-to-SQL datasets. Our s…
MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems
Sri Ram Macharla, Sridhar Murthy J, Anjaneyulu Pasala
MultiFluxAI is an innovative AI platform developed to address the challenges of managing and integrating vast, disparate data sources in product engineering across application doma…
MIR: Methodology Inspiration Retrieval for Scientific Research Problems
Aniketh Garikaparthi, Manasi Patwardhan, Aditya Sanjiv Kanade +3
There has been a surge of interest in harnessing the reasoning capabilities of Large Language Models (LLMs) to accelerate scientific discovery. While existing approaches rely on gr…
IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery
Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig +1
The rapid advancement in capabilities of large language models (LLMs) raises a pivotal question: How can LLMs accelerate scientific discovery? This work tackles the crucial first s…
Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation
Krishnam Hasija, Shrishti Pradhan, Manasi Patwardhan +3
In this paper, we define a neuro-symbolic approach to address the task of finding semantically similar clones for the codes of the legacy programming language COBOL, without traini…