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Found 13 papers, 4 papers with code
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering
Large Language Models (LLMs), excel in natural language understanding, but their capability for complex mathematical reasoning with an amalgamation of structured tables and unstructured text is uncertain.
Breaking Language Barriers with a LEAP: Learning Strategies for Polyglot LLMs
Our results show substantial advancements in multilingual understanding and generation across a diverse range of languages.
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models
We propose Retrieval Augmented Generation (RAG) as an approach for automated radiology report writing that leverages multimodally aligned embeddings from a contrastively pretrained vision language model for retrieval of relevant candidate radiology text for an input radiology image and a general domain generative model like OpenAI text-davinci-003, gpt-3. 5-turbo and gpt-4 for report generation using the relevant radiology text retrieved.
MEGA: Multilingual Evaluation of Generative AI
Most studies on generative LLMs have been restricted to English and it is unclear how capable these models are at understanding and generating text in other languages.
ChartParser: Automatic Chart Parsing for Print-Impaired
Infographics are often an integral component of scientific documents for reporting qualitative or quantitative findings as they make it much simpler to comprehend the underlying complex information.
Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3
We present very early results on using GPT-3 to perform question answering on tabular data.
Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models
Leveraging shared learning through Massively Multilingual Models, state-of-the-art machine translation models are often able to adapt to the paucity of data for low-resource languages.
Towards Optimizing OCR for Accessibility
Visual cues such as structure, emphasis, and icons play an important role in efficient information foraging by sighted individuals and make for a pleasurable reading experience.
Document Navigability: A Need for Print-Impaired
Printed documents continue to be a challenge for blind, low-vision, and other print-disabled (BLV) individuals.
Broken News: Making Newspapers Accessible to Print-Impaired
Accessing daily news content still remains a big challenge for people with print-impairment including blind and low-vision due to opacity of printed content and hindrance from online sources.
Instance Segmentation
Optical Character Recognition (OCR)
+2
Predicting the Performance of Multilingual NLP Models
Recent advancements in NLP have given us models like mBERT and XLMR that can serve over 100 languages.
GCM: A Toolkit for Generating Synthetic Code-mixed Text
Code-mixing is common in multilingual communities around the world, and processing it is challenging due to the lack of labeled and unlabeled data.
Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning
In the context of the ongoing Covid-19 pandemic, several reports and studies have attempted to model and predict the spread of the disease.
