5 papers · 1 filter
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
Divyaksh Shukla, Ashutosh Modi
Machine unlearning aims to remove the influence of specific training data from a model while preserving reliable behavior on the remaining data, making reliable prediction and unce…
CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations
Divyaksh Shukla, Ritesh Baviskar, Dwijesh Gohil +3
Discourse parsing is an important task useful for NLU applications such as summarization, machine comprehension, and emotion recognition. The current discourse parsing datasets bas…
Towards Quantifying Commonsense Reasoning with Mechanistic Insights
Abhinav Joshi, Areeb Ahmad, Divyaksh Shukla +1
Commonsense reasoning deals with the implicit knowledge that is well understood by humans and typically acquired via interactions with the world. In recent times, commonsense reaso…
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
Abhinav Joshi, Shaswati Saha, Divyaksh Shukla +4
Large Language Models (LLMs) have shown to be a great success in a wide range of applications ranging from regular NLP-based use cases to AI agents. LLMs have been trained on a vas…
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
Shubham Patel, Divyaksh Shukla, Ashutosh Modi
This paper presents our approach for the SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations. For the Emotion Recognition in Conversations (ERC) task, w…