Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Baker, George P."'
Autor:
Shaier, Sagi, Baker, George Arthur, Sridhar, Chiranthan, Hunter, Lawrence E, von der Wense, Katharina
Language models (LMs) have excelled in various broad domains. However, to ensure their safe and effective integration into real-world educational settings, they must demonstrate proficiency in specific, granular areas of knowledge. Existing cloze-sty
Externí odkaz:
http://arxiv.org/abs/2412.10105
Autor:
Baker, George Arthur, Raut, Ankush, Shaier, Sagi, Hunter, Lawrence E, von der Wense, Katharina
Previous work finds that recent long-context language models fail to make equal use of information in the middle of their inputs, preferring pieces of information located at the tail ends which creates an undue bias in situations where we would like
Externí odkaz:
http://arxiv.org/abs/2412.10079
Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing
Autor:
Ahmed, Shafiuddin Rehan, Wang, Zhiyong Eric, Baker, George Arthur, Stowe, Kevin, Martin, James H.
The most popular Cross-Document Event Coreference Resolution (CDEC) datasets fail to convey the true difficulty of the task, due to the lack of lexical diversity between coreferring event triggers (words or phrases that refer to an event). Furthermor
Externí odkaz:
http://arxiv.org/abs/2407.11988
Abstract Meaning Representation (AMR) is a semantic formalism that captures the core meaning of an utterance. There has been substantial work developing AMR corpora in English and more recently across languages, though the limited size of existing da
Externí odkaz:
http://arxiv.org/abs/2405.19285
Autor:
Nath, Abhijnan, Jamil, Huma, Ahmed, Shafiuddin Rehan, Baker, George, Ghosh, Rahul, Martin, James H., Blanchard, Nathaniel, Krishnaswamy, Nikhil
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 occurrence. Images of the events can help facilitate resolution when language
Externí odkaz:
http://arxiv.org/abs/2404.08949
Autor:
Ahmed, Shafiuddin Rehan, Baker, George Arthur, Judge, Evi, Regan, Michael, Wright-Bettner, Kristin, Palmer, Martha, Martin, James H.
Event Coreference Resolution (ECR) as a pairwise mention classification task is expensive both for automated systems and manual annotations. The task's quadratic difficulty is exacerbated when using Large Language Models (LLMs), making prompt enginee
Externí odkaz:
http://arxiv.org/abs/2404.08656
Publikováno v:
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 744-753. Cham: Springer Nature Switzerland, 2023
Many medical ultrasound video recognition tasks involve identifying key anatomical features regardless of when they appear in the video suggesting that modeling such tasks may not benefit from temporal features. Correspondingly, model architectures t
Externí odkaz:
http://arxiv.org/abs/2310.10453
Autor:
Baker, George A., Hague, James P.
Publikováno v:
International Journal of Modern Physics C (2008) vol. 19, pp1459-1475
We propose a model that extends the binary ``united we stand, divided we fall'' opinion dynamics of Sznajd-Weron to handle continuous and multi-state discrete opinions. Disagreement dynamics are often ignored in continuous extensions of the binary ru
Externí odkaz:
http://arxiv.org/abs/0804.0165
Autor:
Baker, George P., Hubbard, Thomas N.
Publikováno v:
The American Economic Review, 2003 Jun 01. 93(3), 551-572.
Externí odkaz:
https://www.jstor.org/stable/3132106
