13 citations · 28 across the 11 of their papers we have counts for
11 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…
Utilising Large Language Models for Generating Effective Counter Arguments to Anti-Vaccine Tweets
Utsav Dhanuka, Soham Poddar, Saptarshi Ghosh
In an era where public health is increasingly influenced by information shared on social media, combatting vaccine skepticism and misinformation has become a critical societal goal…
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…
ICPR 2024 Competition on Multilingual Claim-Span Identification
Soham Poddar, Biswajit Paul, Moumita Basu +1
A lot of claims are made in social media posts, which may contain misinformation or fake news. Hence, it is crucial to identify claims as a first step towards claim verification. G…
How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era
Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya +2
The debate around vaccines has been going on for decades, but the COVID-19 pandemic showed how crucial it is to understand and mitigate anti-vaccine sentiments. While the pandemic…
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation
Abhay Shukla, Paheli Bhattacharya, Soham Poddar +4
Summarization of legal case judgement documents is a challenging problem in Legal NLP. However, not much analyses exist on how different families of summarization models (e.g., ext…
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee +2
Convincing people to get vaccinated against COVID-19 is a key societal challenge in the present times. As a first step towards this goal, many prior works have relied on social med…
Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users
Soham Poddar, Mainack Mondal, Janardan Misra +2
Administering COVID-19 vaccines at a societal scale has been deemed as the most appropriate way to defend against the COVID-19 pandemic. This global vaccination drive naturally fue…
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
Paheli Bhattacharya, Soham Poddar, Koustav Rudra +2
Automatic summarization of legal case documents is an important and practical challenge. Apart from many domain-independent text summarization algorithms that can be used for this…
A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media
Soham Poddar, Mainack Mondal, Saptarshi Ghosh
The super-cyclonic storm "Amphan" hit Eastern India, specifically the state of West Bengal, Odisha and parts of Bangladesh in May 2020, and caused severe damage to the regions. In…