2 citations · 3 across the 8 of their papers we have counts for
9 papers
Benchmarking the Energy Savings with Speculative Decoding Strategies
Rohit Dutta, Paramita Koley, Soham Poddar +5
Speculative decoding has emerged as an effective method to reduce latency and inference cost of LLM inferences. However, there has been inadequate attention towards the energy requ…
RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
Koyena Chowdhury, Paramita Koley, Abhijnan Chakraborty +1
Accurate prediction of train delays is critical for efficient railway operations. While earlier approaches have largely focused on forecasting the exact delays of individual trains…
Brevity is the soul of sustainability: Characterizing LLM response lengths
Soham Poddar, Paramita Koley, Janardan Misra +4
A significant portion of the energy consumed by Large Language Models (LLMs) arises from their inference processes; hence developing energy-efficient methods for inference is cruci…
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
Soham Poddar, Paramita Koley, Janardan Misra +3
Large language models (LLMs) are increasingly recognized for their exceptional generative capabilities and versatility across various tasks. However, the high inference costs assoc…
Opponent-aware Role-based Learning in Team Competitive Markov Games
Paramita Koley, Aurghya Maiti, Niloy Ganguly +1
Team competition in multi-agent Markov games is an increasingly important setting for multi-agent reinforcement learning, due to its general applicability in modeling many real-lif…
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya +1
This paper investigates the dynamics of competition among organizations with unequal expertise. Multi-agent reinforcement learning has been used to simulate and understand the impa…
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach
Paramita Koley, Avirup Saha, Sourangshu Bhattacharya +2
The networked opinion diffusion in online social networks (OSN) is often governed by the two genres of opinions - endogenous opinions that are driven by the influence of social con…
Regression Under Human Assistance
Abir De, Nastaran Okati, Paramita Koley +2
Decisions are increasingly taken by both humans and machine learning models. However, machine learning models are currently trained for full automation -- they are not aware that s…
Generative Maximum Entropy Learning for Multiclass Classification
Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar +2
Maximum entropy approach to classification is very well studied in applied statistics and machine learning and almost all the methods that exists in literature are discriminative i…