11 citations · 14 across the 6 of their papers we have counts for
6 papers
Talking Point based Ideological Discourse Analysis in News Events
Nishanth Nakshatri, Nikhil Mehta, Siyi Liu +4
Analyzing ideological discourse even in the age of LLMs remains a challenge, as these models often struggle to capture the key elements that shape real-world narratives. Specifical…
Constrained Decoding with Speculative Lookaheads
Nishanth Nakshatri, Shamik Roy, Rajarshi Das +3
Constrained decoding with lookahead heuristics (CDLH) is a highly effective method for aligning LLM generations to human preferences. However, the extensive lookahead roll-out oper…
Towards Few-Shot Identification of Morality Frames using In-Context Learning
Shamik Roy, Nishanth Sridhar Nakshatri, Dan Goldwasser
Data scarcity is a common problem in NLP, especially when the annotation pertains to nuanced socio-linguistic concepts that require specialized knowledge. As a result, few-shot ide…
A Synthetic Prediction Market for Estimating Confidence in Published Work
Sarah Rajtmajer, Christopher Griffin, Jian Wu +13
Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress. We develop a synthetic prediction market to assess…
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models
Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka +8
In recent years, significant effort has been invested verifying the reproducibility and robustness of research claims in social and behavioral sciences (SBS), much of which has inv…
Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets
Nishanth Nakshatri, Arjun Menon, C. Lee Giles +2
We present a synthetic prediction market whose agent purchase logic is defined using a sigmoid transformation of a convex semi-algebraic set defined in feature space. Asset prices…