6 papers
LogSyn: A Few-Shot LLM Framework for Structured Insight Extraction from Unstructured General Aviation Maintenance Logs
Devansh Agarwal, Maitreyi Chatterjee, Biplab Chatterjee
Aircraft maintenance logs hold valuable safety data but remain underused due to their unstructured text format. This paper introduces LogSyn, a framework that uses Large Language M…
ChunkWise LoRA: Adaptive Sequence Partitioning for Memory-Efficient Low-Rank Adaptation and Accelerated LLM Inference
Ketan Thakkar, Maitreyi Chatterjee, Ramasubramanian Balasubramanian +2
Recent advances in low-rank adaptation (LoRA) have enabled efficient fine-tuning of large language models (LLMs) with minimal additional parameters. However, existing LoRA methods…
Soft Computing Tools To Predict Varied Weight Components, Material and Tribological Properties of Al2219-B4C-Gr
Maitreyi Chatterjee, Biplab Chatterjee
Soft computing tools emerged as most reliable alternatives of traditional regression and statistical methods. In recent times, these tools can predict the optimum material composit…
Reinforcement Learning for Self-Healing Material Systems
Maitreyi Chatterjee, Devansh Agarwal, Biplab Chatterjee
The transition to autonomous material systems necessitates adaptive control methodologies to maximize structural longevity. This study frames the self-healing process as a Reinforc…
Semantic Anchoring in Agentic Memory: Leveraging Linguistic Structures for Persistent Conversational Context
Maitreyi Chatterjee, Devansh Agarwal
Large Language Models (LLMs) have demonstrated impressive fluency and task competence in conversational settings. However, their effectiveness in multi-session and long-term intera…
Are Triggers Needed for Document-Level Event Extraction?
Shaden Shaar, Wayne Chen, Maitreyi Chatterjee +3
Most existing work on event extraction has focused on sentence-level texts and presumes the identification of a trigger-span -- a word or phrase in the input that evokes the occurr…