1 citations · 2 across the 9 of their papers we have counts for
11 papers
Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
Amanda Bertsch, Adithya Pratapa, Teruko Mitamura +2
As model context lengths continue to grow, concerns about whether models effectively use the full context length have persisted. While several carefully designed long-context evalu…
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
Adithya Pratapa, Teruko Mitamura
Recent advances in long-context reasoning abilities of language models led to interesting applications in large-scale multi-document summarization. However, prior work has shown th…
Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches
Adithya Pratapa, Teruko Mitamura
Automatically summarizing large text collections is a valuable tool for document research, with applications in journalism, academic research, legal work, and many other fields. In…
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Sang Keun Choe, Hwijeen Ahn, Juhan Bae +11
Large language models (LLMs) are trained on a vast amount of human-written data, but data providers often remain uncredited. In response to this issue, data valuation (or data attr…
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing
Yanlin Feng, Adithya Pratapa, David R Mortensen
Ultra-fine entity typing plays a crucial role in information extraction by predicting fine-grained semantic types for entity mentions in text. However, this task poses significant…
Background Summarization of Event Timelines
Adithya Pratapa, Kevin Small, Markus Dreyer
Generating concise summaries of news events is a challenging natural language processing task. While journalists often curate timelines to highlight key sub-events, newcomers to a…
Hierarchical Event Grounding
Jiefu Ou, Adithya Pratapa, Rishubh Gupta +1
Event grounding aims at linking mention references in text corpora to events from a knowledge base (KB). Previous work on this task focused primarily on linking to a single KB even…
Multilingual Event Linking to Wikidata
Adithya Pratapa, Rishubh Gupta, Teruko Mitamura
We present a task of multilingual linking of events to a knowledge base. We automatically compile a large-scale dataset for this task, comprising of 1.8M mentions across 44 languag…
Cross-document Event Identity via Dense Annotation
Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa +4
In this paper, we study the identity of textual events from different documents. While the complex nature of event identity is previously studied (Hovy et al., 2013), the case of e…
Evaluating the Morphosyntactic Well-formedness of Generated Texts
Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani +4
Text generation systems are ubiquitous in natural language processing applications. However, evaluation of these systems remains a challenge, especially in multilingual settings. I…
Automatic Extraction of Rules Governing Morphological Agreement
Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa +4
Creating a descriptive grammar of a language is an indispensable step for language documentation and preservation. However, at the same time it is a tedious, time-consuming task. I…