4 papers · 1 filter
ReasoningFlow: Semantic Structure of Complex Reasoning Traces
Jinu Lee, Sagnik Mukherjee, Dilek Hakkani-Tur +1
Large reasoning models (LRMs) generate complex reasoning traces with planning, reflection, verification, and backtracking. In this work, we introduce ReasoningFlow, a unified schem…
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting
Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram +3
Socio-demographic prompting is a commonly employed approach to study cultural biases in LLMs as well as for aligning models to certain cultures. In this paper, we systematically pr…
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction
Jay Mundra, Rohan Gupta, Sagnik Mukherjee
This paper describes our contribution to the WASSA 2021 shared task on Empathy Prediction and Emotion Classification. The broad goal of this task was to model an empathy score, a d…
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task
Neil Rajiv Shirude, Sagnik Mukherjee, Tushar Shandhilya +2
This paper describes our contribution to SemEval 2021 Task 1: Lexical Complexity Prediction. In our approach, we leverage the ELECTRA model and attempt to mirror the data annotatio…