Search Results for author:
Found 7 papers, 3 papers with code
Multilingual Text Summarization on Financial Documents
The language models were fine-tuned on a financial document collection of three languages (English, Spanish, and Greek) and aim to identify the beginning of the summary narrative part of the document.
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Large language models (LLMs) can potentially democratize access to medical knowledge.
Ranked #1 on
Multiple Choice Question Answering (MCQA)
on MedMCQA
(Dev Set (Acc-%) metric)
Conditional Text Generation
Multiple Choice Question Answering (MCQA)
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
In this work, we present CRAB, a new Causal Reasoning Assessment Benchmark designed to evaluate causal understanding of events in real-world narratives.
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting
Our autoencoder approach improves the MAPE by 13. 5% on average over the second-best result.
Interpreting Language Models Through Knowledge Graph Extraction
In this paper, we compare BERT-based language models through snapshots of acquired knowledge at sequential stages of the training process.
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs
In this work, we present a methodology for creating scientific news article representations by modeling the directed graph between the scientific news articles and the cited scientific publications.
SciLens News Platform: A System for Real-Time Evaluation of News Articles
We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles.
