32 citations · 33 across the 9 of their papers we have counts for
10 papers
ExecTune: Effective Steering of Black-Box LLMs with Guide Models
Vijay Lingam, Aditya Golatkar, Anwesan Pal +6
For large language models deployed through black-box APIs, recurring inference costs often exceed one-time training costs. This motivates composed agentic systems that amortize exp…
ELLA: Efficient Lifelong Learning for Adapters in Large Language Models
Shristi Das Biswas, Yue Zhang, Anwesan Pal +2
Large Language Models (LLMs) suffer severe catastrophic forgetting when adapted sequentially to new tasks in a continual learning (CL) setting. Existing approaches are fundamentall…
Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts
Anwesan Pal, Karen Hovsepian, Tinghao Guo +5
Recent investigations into effective context lengths of modern flagship large language models (LLMs) have revealed major limitations in effective question answering (QA) and reason…
The Empirical Impact of Data Sanitization on Language Models
Anwesan Pal, Radhika Bhargava, Kyle Hinsz +2
Data sanitization in the context of language modeling involves identifying sensitive content, such as personally identifiable information (PII), and redacting them from a dataset c…
Household navigation and manipulation for everyday object rearrangement tasks
Shrutheesh R. Iyer, Anwesan Pal, Jiaming Hu +3
We consider the problem of building an assistive robotic system that can help humans in daily household cleanup tasks. Creating such an autonomous system in real-world environments…
FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory
Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal +5
Multi-turn textual feedback-based fashion image retrieval focuses on a real-world setting, where users can iteratively provide information to refine retrieval results until they fi…
Role of reward shaping in object-goal navigation
Srirangan Madhavan, Anwesan Pal, Henrik I. Christensen
Deep reinforcement learning approaches have been a popular method for visual navigation tasks in the computer vision and robotics community of late. In most cases, the reward funct…
Learning hierarchical relationships for object-goal navigation
Yiding Qiu, Anwesan Pal, Henrik I. Christensen
Direct search for objects as part of navigation poses a challenge for small items. Utilizing context in the form of object-object relationships enable hierarchical search for targe…
Looking at the right stuff: Guided semantic-gaze for autonomous driving
Anwesan Pal, Sayan Mondal, Henrik I. Christensen
In recent years, predicting driver's focus of attention has been a very active area of research in the autonomous driving community. Unfortunately, existing state-of-the-art techni…
DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments
Anwesan Pal, Carlos Nieto-Granda, Henrik I. Christensen
In recent years, there has been a rapid increase in the number of service robots deployed for aiding people in their daily activities. Unfortunately, most of these robots require h…