1 citations · 1 across the 12 of their papers we have counts for
5 papers · 1 filter
Any Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues
Abhijnan Nath, Videep Venkatesha, Mariah Bradford +5
Question-asking in collaborative dialogue has long been established as key to knowledge construction, both in internal and collaborative problem solving. In this work, we examine p…
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Abhijnan Nath, Changsoo Jung, Ethan Seefried +1
Traditional RLHF-based LLM alignment methods explicitly maximize the expected rewards from a separate reward model. More recent supervised alignment methods like Direct Preference…
Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles
Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed +5
Event coreference resolution (ECR) is the task of determining whether distinct mentions of events within a multi-document corpus are actually linked to the same underlying occurren…
Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation
Abhijnan Nath, Shadi Manafi, Avyakta Chelle +1
In NLP, Event Coreference Resolution (ECR) is the task of connecting event clusters that refer to the same underlying real-life event, usually via neural systems. In this work, we…
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets
Shadi Manafi, Nikhil Krishnaswamy
Multilingual Language Models (MLLMs) exhibit robust cross-lingual transfer capabilities, or the ability to leverage information acquired in a source language and apply it to a targ…