2 citations · 2 across the 4 of their papers we have counts for
4 papers
Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
Abhilasha Lodha, Mahsa Pahlavikhah Varnosfaderani, Abir Chakraborty +1
Large language models deployed as autonomous agents for enterprise workflows face a key challenge: verbose tool responses from enterprise systems can cause context overflow, stale-…
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla +6
This paper presents our team's participation in the MEDIQA-ClinicalNLP2024 shared task B. We present a novel approach to diagnosing clinical dermatology cases by integrating large…
Understanding Code Semantics: An Evaluation of Transformer Models in Summarization
Debanjan Mondal, Abhilasha Lodha, Ankita Sahoo +1
This paper delves into the intricacies of code summarization using advanced transformer-based language models. Through empirical studies, we evaluate the efficacy of code summariza…
On Surgical Fine-tuning for Language Encoders
Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar +5
Fine-tuning all the layers of a pre-trained neural language encoder (either using all the parameters or using parameter-efficient methods) is often the de-facto way of adapting it…