22 citations · 69 across the 22 of their papers we have counts for
4 papers · 1 filter
IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs
Kawshik Manikantan, Makarand Tapaswi, Vineet Gandhi +1
Recent evaluations of LLMs on coreference resolution have revealed that traditional output formats and evaluation metrics do not fully capture the models' referential understanding…
Major Entity Identification: A Generalizable Alternative to Coreference Resolution
Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi +1
The limited generalization of coreference resolution (CR) models has been a major bottleneck in the task's broad application. Prior work has identified annotation differences, espe…
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
Dhaval Taunk, Lakshya Khanna, Pavan Kandru +3
Commonsense question-answering (QA) methods combine the power of pre-trained Language Models (LM) with the reasoning provided by Knowledge Graphs (KG). A typical approach collects…
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim +1
Understanding stories is a challenging reading comprehension problem for machines as it requires reading a large volume of text and following long-range dependencies. In this paper…