3 citations · 6 across the 12 of their papers we have counts for
12 papers
Peeking Inside LLMs: Leveraging Internal Artifacts of LLMs for Enhancing Reliability in Legal Classification
Sudipta Santra, Debtanu Datta, Saptarshi Ghosh
Large Language Models (LLMs) are increasingly being adopted in the legal domain. However, despite their strong performance, LLMs are prone to generating incorrect or hallucinated o…
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…
Advantages of Domain Knowledge Injection for Legal Document Summarization: A Case Study on Summarizing Indian Court Judgments in English and Hindi
Debtanu Datta, Rajdeep Mukherjee, Adrijit Goswami +1
Summarizing Indian legal court judgments is a complex task not only due to the intricate language and unstructured nature of the legal texts, but also since a large section of the…
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…
Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification
Subhendu Khatuya, Shashwat Naidu, Saptarshi Ghosh +2
The explosion of textual data has made manual document classification increasingly challenging. To address this, we introduce a robust, efficient domain-agnostic generative model f…
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…
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling
Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh +5
We study the problem of automatically annotating relevant numerals (GAAP metrics) occurring in the financial documents with their corresponding XBRL tags. Different from prior work…
Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts
Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly +2
While automatic summarization techniques have made significant advancements, their primary focus has been on summarizing short news articles or documents that have clear structural…
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…
MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments
Debtanu Datta, Shubham Soni, Rajdeep Mukherjee +1
Automatic summarization of legal case judgments is a practically important problem that has attracted substantial research efforts in many countries. In the context of the Indian j…
MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages
Sayan Mahapatra, Debtanu Datta, Shubham Soni +2
Most legal text in the Indian judiciary is written in complex English due to historical reasons. However, only a small fraction of the Indian population is comfortable in reading E…