Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Amir, Silvio"'
Autor:
Arroyo, Alberto Mario Ceballos, Munnangi, Monica, Sun, Jiuding, Zhang, Karen Y. C., McInerney, Denis Jered, Wallace, Byron C., Amir, Silvio
Instruction-tuned Large Language Models (LLMs) can perform a wide range of tasks given natural language instructions to do so, but they are sensitive to how such instructions are phrased. This issue is especially concerning in healthcare, as clinicia
Externí odkaz:
http://arxiv.org/abs/2407.09429
Eliciting "chain of thought" (CoT) rationales -- sequences of token that convey a "reasoning" process -- has been shown to consistently improve LLM performance on tasks like question answering. More recent efforts have shown that such rationales can
Externí odkaz:
http://arxiv.org/abs/2406.14511
Autor:
Munnangi, Monica, Feldman, Sergey, Wallace, Byron C, Amir, Silvio, Hope, Tom, Naik, Aakanksha
Despite their general capabilities, LLMs still struggle on biomedical NER tasks, which are difficult due to the presence of specialized terminology and lack of training data. In this work we set out to improve LLM performance on biomedical NER in lim
Externí odkaz:
http://arxiv.org/abs/2404.00152
Autor:
Ahsan, Hiba, McInerney, Denis Jered, Kim, Jisoo, Potter, Christopher, Young, Geoffrey, Amir, Silvio, Wallace, Byron C.
Unstructured data in Electronic Health Records (EHRs) often contains critical information -- complementary to imaging -- that could inform radiologists' diagnoses. But the large volume of notes often associated with patients together with time constr
Externí odkaz:
http://arxiv.org/abs/2309.04550
Relation extraction (RE) is the core NLP task of inferring semantic relationships between entities from text. Standard supervised RE techniques entail training modules to tag tokens comprising entity spans and then predict the relationship between th
Externí odkaz:
http://arxiv.org/abs/2305.05003
Results from Randomized Controlled Trials (RCTs) establish the comparative effectiveness of interventions, and are in turn critical inputs for evidence-based care. However, results from RCTs are presented in (often unstructured) natural language arti
Externí odkaz:
http://arxiv.org/abs/2305.03642
We present Reddit Health Online Talk (RedHOT), a corpus of 22,000 richly annotated social media posts from Reddit spanning 24 health conditions. Annotations include demarcations of spans corresponding to medical claims, personal experiences, and ques
Externí odkaz:
http://arxiv.org/abs/2210.06331
Recent work has shown that fine-tuning large networks is surprisingly sensitive to changes in random seed(s). We explore the implications of this phenomenon for model fairness across demographic groups in clinical prediction tasks over electronic hea
Externí odkaz:
http://arxiv.org/abs/2104.06338
The #MeToo movement on Twitter has drawn attention to the pervasive nature of sexual harassment and violence. While #MeToo has been praised for providing support for self-disclosures of harassment or violence and shifting societal response, it has al
Externí odkaz:
http://arxiv.org/abs/2010.06472
Mental illnesses adversely affect a significant proportion of the population worldwide. However, the methods traditionally used for estimating and characterizing the prevalence of mental health conditions are time-consuming and expensive. Consequentl
Externí odkaz:
http://arxiv.org/abs/1705.00335