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Found 10 papers, 4 papers with code
Adaptive Memory Networks
We present Adaptive Memory Networks (AMN) that processes input-question pairs to dynamically construct a network architecture optimized for lower inference times for Question Answering (QA) tasks.
Exploring Cellular Protein Localization Through Semantic Image Synthesis
Cell-cell interactions have an integral role in tumorigenesis as they are critical in governing immune responses.
Statistical Issues and Recommendations for Clinical Trials Conducted During the COVID-19 Pandemic
The COVID-19 pandemic has had and continues to have major impacts on planned and ongoing clinical trials.
Sentence Boundary Augmentation For Neural Machine Translation Robustness
Specifically, in the context of long-form speech translation systems, where the input transcripts come from Automatic Speech Recognition (ASR), the NMT models have to handle errors including phoneme substitutions, grammatical structure, and sentence boundaries, all of which pose challenges to NMT robustness.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+7
Hierarchical Summarization for Longform Spoken Dialog
These concerns all demonstrate the need for a distinctly speech tailored interactive system to help users understand and navigate the spoken language domain.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Reward Shaping for User Satisfaction in a REINFORCE Recommender
How might we design Reinforcement Learning (RL)-based recommenders that encourage aligning user trajectories with the underlying user satisfaction?
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages?
Automatic Speech Recognition
Speech-to-Speech Translation
+3
HumanEval on Latest GPT Models -- 2024
In 2023, we are using the latest models of GPT-4 to advance program synthesis.
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
We investigate efficient methods for training Large Language Models (LLMs) to possess capabilities in multiple specialized domains, such as coding, math reasoning and world knowledge.
Ranked #30 on
Question Answering
on TriviaQA
VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild
We introduce VoiceCraft, a token infilling neural codec language model, that achieves state-of-the-art performance on both speech editing and zero-shot text-to-speech (TTS) on audiobooks, internet videos, and podcasts.
