5 papers
Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations
Bradley P. Allen, Prateek Chhikara, Thomas Macaulay Ferguson +2
Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but exhibit problems with logical consistency in their outp…
Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models
Prateek Chhikara
Large Language Models (LLMs) show remarkable proficiency in natural language tasks, yet their frequent overconfidence-misalignment between predicted confidence and true correctness…
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Prateek Chhikara, Dev Khant, Saket Aryan +2
Large Language Models (LLMs) have demonstrated remarkable prowess in generating contextually coherent responses, yet their fixed context windows pose fundamental challenges for mai…
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs
Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara +1
Multimodal Large Language Models (MLLMs) have experienced rapid progress in visual recognition tasks in recent years. Given their potential integration into many critical applicati…
FIRE: Food Image to REcipe generation
Prateek Chhikara, Dhiraj Chaurasia, Yifan Jiang +2
Food computing has emerged as a prominent multidisciplinary field of research in recent years. An ambitious goal of food computing is to develop end-to-end intelligent systems capa…