273 citations
- Indian Institute of Technology DelhiIN4 papers
- Indraprastha Institute of Information Technology DelhiIN2 papers
- Bangalore Diabetes CentreIN1 paper
- Carnegie Mellon UniversityUS1 paper
- Cavite State UniversityPH1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Green Valley High SchoolUS1 paper
- Helwan UniversityEG1 paper
- Indian Institute of Information Technology Sri City1 paper
- Indian Institute of Technology KharagpurIN1 paper
- Indian Institute of Technology PatnaIN1 paper
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9 papers
Temporally Consistent Factuality Probing for Large Language Models
Ashutosh Bajpai, Aaryan Goyal, Atif Anwer +1
The prolific use of Large Language Models (LLMs) as an alternate knowledge base requires them to be factually consistent, necessitating both correctness and consistency traits for…
Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Detection
Sarah Masud, Ashutosh Bajpai, Tanmoy Chakraborty
Although pretrained large language models (PLMs) have achieved state-of-the-art on many natural language processing (NLP) tasks, they lack an understanding of subtle expressions of…
On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode
Raviraj Joshi, Subodh Kumar
The streaming automatic speech recognition (ASR) models are more popular and suitable for voice-based applications. However, non-streaming models provide better performance as they…
Is Attention always needed? A Case Study on Language Identification from Speech
Atanu Mandal, Santanu Pal, Indranil Dutta +2
Language Identification (LID) is a crucial preliminary process in the field of Automatic Speech Recognition (ASR) that involves the identification of a spoken language from audio s…
Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild
Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay +3
With the exponential growth of online marketplaces and user-generated content therein, aspect-based sentiment analysis has become more important than ever. In this work, we critica…
Fighting an Infodemic: COVID-19 Fake News Dataset
Parth Patwa, Shivam Sharma, Srinivas Pykl +6
Along with COVID-19 pandemic we are also fighting an `infodemic'. Fake news and rumors are rampant on social media. Believing in rumors can cause significant harm. This is further…