48 citations · 80 across the 14 of their papers we have counts for
10 papers · 1 filter
Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
Chinmay Pushkar, Sanchit Kabra, Dhruv Kumar +1
Large Language Models (LLMs) have demonstrated significant potential in automated software security, particularly in vulnerability detection. However, existing benchmarks primarily…
CricBench: A Multilingual Benchmark for Evaluating LLMs in Cricket Analytics
Parth Agarwal, Navya Kommuri, Trizal Garg +7
Cricket is the second most popular sport worldwide, with billions of fans seeking advanced statistical insights unavailable through standard web searches. Although LLMs have advanc…
Exposing DeepFakes via Hyperspectral Domain Mapping
Aditya Mehta, Swarnim Chaudhary, Pratik Narang +1
Modern generative and diffusion models produce highly realistic images that can mislead human perception and even sophisticated automated detection systems. Most detection methods…
Talking with Oompa Loompas: A novel framework for evaluating linguistic acquisition of LLM agents
Sankalp Tattwadarshi Swain, Anshika Krishnatray, Dhruv Kumar +1
Existing evaluation studies on linguistic competence of large language models (LLM agents) have focused primarily on vocabulary learning, morphological rule induction, syntactic ge…
Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning
Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari +4
Scalable multi-agent reinforcement learning (MARL) remains a central challenge for AI. Existing population-based methods, like Policy-Space Response Oracles, PSRO, require storing…
HAEPO: History-Aggregated Exploratory Policy Optimization
Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari +3
Exploration is essential in modern learning, from reinforcement learning environments with small neural policies to large language models (LLMs). Existing work, such as DPO, levera…
SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control
Adithya Chittem, Aishna Shrivastava, Sai Tarun Pendela +2
Large language models (LLMs) have gained significant traction across a wide range of fields in recent years. There is also a growing expectation for them to display human-like pers…
The Impact of Large Language Models on K-12 Education in Rural India: A Thematic Analysis of Student Volunteer's Perspectives
Harshita Goyal, Garima Garg, Prisha Mordia +3
AI-driven education, particularly Large Language Models (LLMs), has the potential to address learning disparities in rural K-12 schools. However, research on AI adoption in rural I…
Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback
Raj Gupta, Harshita Goyal, Dhruv Kumar +4
The advent of Large Language Models (LLMs) is reshaping education, particularly in programming, by enhancing problem-solving, enabling personalized feedback, and supporting adaptiv…
Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics
Aditya Pathak, Rachit Gandhi, Vaibhav Uttam +11
Since the emergence of Large Language Models (LLMs) popularized by the release of GPT-3 and ChatGPT, LLMs have shown remarkable promise in programming-related tasks. While code gen…