SwissNYF: Tool Grounded LLM Agents for Black Box Setting
The article explores the use of Large Language Models (LLMs) for tool planning in black box settings….
Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4
This research evaluates the clinical alignment of GPT-4 evaluation with human clinician experts in assessing responses to…
A privacy-preserving, distributed and cooperative FCM-based learning approach for Cancer Research
The article presents a novel approach to Distributed Artificial Intelligence, using Federated Learning and Fuzzy Cognitive Maps…
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving
The article introduces GeoEval, a comprehensive collection of geometry math problems designed to evaluate the proficiency of…
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction
The article discusses a method to reduce diagnostic errors by using Latent Dirichlet Allocation (LLMs) to identify…
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN
The study focuses on generating images from EEG signals using a deep learning framework. The objective is…
Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem
This research paper explores a novel method for personalized procedural content generation in gaming. Utilizing large language…
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
The paper introduces OptiMUS, a Large Language Model (LLM)-based agent designed to formulate and solve linear programming…
DeepSRGM — Sequence Classification and Ranking in Indian Classical Music with Deep Learning
This paper presents a deep learning method for recognizing Ragas, a significant element in Indian Classical Music…
Mood as a Contextual Cue for Improved Emotion Inference
The article presents a study that investigates the role of mood in predicting emotions, specifically in the…