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…