7 citations · 20 across the 11 of their papers we have counts for
12 papers
Evaluating Confidence-Gated Retrieval with Matched Trajectory Replay
Prateek Chhikara
Interactive language-model agents use confidence signals to decide whether to answer immediately, retrieve additional evidence (from memory or external knowledge), or defer. Yet co…
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…
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…
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…
Towards Perceiving Small Visual Details in Zero-shot Visual Question Answering with Multimodal LLMs
Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara +1
Multimodal Large Language Models (MLLMs) have recently achieved promising zero-shot accuracy on visual question answering (VQA) -- a fundamental task affecting various downstream a…
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…
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment
Prateek Chhikara, Ujjwal Pasupulety, John Marshall +2
Social media platforms have enabled individuals suffering from mental illnesses to share their lived experiences and find the online support necessary to cope. However, many users…
Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models
Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara +1
Visual Question Answering is a challenging task, as it requires seamless interaction between perceptual, linguistic, and background knowledge systems. While the recent progress of…
Knowledge-enhanced Agents for Interactive Text Games
Prateek Chhikara, Jiarui Zhang, Filip Ilievski +2
Communication via natural language is a key aspect of machine intelligence, and it requires computational models to learn and reason about world concepts, with varying levels of su…
DIGITOUR: Automatic Digital Tours for Real-Estate Properties
Prateek Chhikara, Harshul Kuhar, Anil Goyal +1
A virtual or digital tour is a form of virtual reality technology which allows a user to experience a specific location remotely. Currently, these virtual tours are created by foll…
RE-Tagger: A light-weight Real-Estate Image Classifier
Prateek Chhikara, Anil Goyal, Chirag Sharma
Real-estate image tagging is one of the essential use-cases to save efforts involved in manual annotation and enhance the user experience. This paper proposes an end-to-end pipelin…