activity
20242026
collaborators

5 papers

cs.AI2026

Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination

Rakshit Trivedi, Kartik Sharma, David C Parkes

Effective human-AI coordination requires artificial agents capable of exhibiting and responding to human-like behaviors while adapting to changing contexts. Imitation learning has…

math.OC2026

Feature-Based Interpretable Surrogates for Optimization

Marc Goerigk, Michael Hartisch, Sebastian Merten +1

For optimization models to be used in practice, it is crucial that users trust the results. A key factor in this aspect is the interpretability of the solution process. A previous…

cs.AI2025

GESA: Graph-Enhanced Semantic Allocation for Generalized, Fair, and Explainable Candidate-Role Matching

Rishi Ashish Shah, Shivaay Dhondiyal, Kartik Sharma +3

Accurate, fair, and explainable allocation of candidates to roles represents a fundamental challenge across multiple domains including corporate hiring, academic admissions, fellow…

cs.LG2025

OpenThoughts: Data Recipes for Reasoning Models

Etash Guha, Ryan Marten, Sedrick Keh +47

Reasoning models have made rapid progress on many benchmarks involving math, code, and science. Yet, there are still many open questions about the best training recipes for reasoni…

cs.CL2024

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models

Kartik Sharma, Peeyush Kumar, Yunqing Li

This paper presents OG-RAG, an Ontology-Grounded Retrieval Augmented Generation method designed to enhance LLM-generated responses by anchoring retrieval processes in domain-specif…