collaborators

9 papers

cs.LG2026

Trust Regions Sell, But Who's Buying? Overlap Geometry as an Alternative Trust Region for Policy Optimization

Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari +4

Standard trust-region methods constrain policy updates via Kullback-Leibler (KL) divergence. However, KL controls only an average divergence and does not directly prevent rare, lar…

cs.CL2026

A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews

Aakash Trivedi, Aniket Upadhyay, Pratik Narang +2

Extracting actionable suggestions from customer reviews is essential for operational decision-making, yet these directives are often embedded within mixed-intent, unstructured text…

cs.AI2026

Actionable Advice from Reviews via Mixture of LoRA Experts: A Two-LLM Pipeline for Issue Extraction and Business Recommendations

Kartikey Singh Bhandari, Manav Ganesh, Yashwant Viswanathan +3

Customer reviews contain detailed, domain specific signals about service failures and user expectations, but converting this unstructured feedback into actionable business decision…

cs.CV2025

Understanding Virality: A Rubric based Vision-Language Model Framework for Short-Form Edutainment Evaluation

Arnav Gupta, Gurekas Singh Sahney, Hardik Rathi +4

Evaluating short-form video content requires moving beyond surface-level quality metrics toward human-aligned, multimodal reasoning. While existing frameworks like VideoScore-2 ass…

cs.CV2025

Investigating Spatial Attention Bias in Vision-Language Models

Aryan Chaudhary, Sanchit Goyal, Pratik Narang +1

Vision-Language Models have demonstrated remarkable capabilities in understanding visual content, yet systematic biases in their spatial processing remain largely unexplored. This…

cs.AI2025

Large Language Models as Pokémon Battle Agents: Strategic Play and Content Generation

Daksh Jain, Aarya Jain, Ashutosh Desai +4

Strategic decision-making in Pokémon battles presents a unique testbed for evaluating large language models. Pokémon battles demand reasoning about type matchups, statistical trade…