16k
55 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Efficiently Modeling Long Sequences with Structured State Spaces
hazyresearch/state-spaces
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ICLR 2022
A central goal of sequence modeling is designing a single principled model that can address sequence data across a range of modalities and tasks, particularly on long-range dependencies.
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
hazyresearch/flash-attention
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We also extend FlashAttention to block-sparse attention, yielding an approximate attention algorithm that is faster than any existing approximate attention method.
Long Range Arena: A Benchmark for Efficient Transformers
google-research/long-range-arena
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In the recent months, a wide spectrum of efficient, fast Transformers have been proposed to tackle this problem, more often than not claiming superior or comparable model quality to vanilla Transformer models.
Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
google-research-datasets/dstc8-schema-guided-dialogue
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In this work, we introduce the the Schema-Guided Dialogue (SGD) dataset, containing over 16k multi-domain conversations spanning 16 domains.
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
firojalam/COVID-19-disinformation
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Findings (EMNLP) 2021
With the emergence of the COVID-19 pandemic, the political and the medical aspects of disinformation merged as the problem got elevated to a whole new level to become the first global infodemic.
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions
For the cloth-changing problem, video-based ReID is rarely studied due to the lack of a suitable cloth-changing benchmark, and gait recognition is often researched under controlled conditions.
Code Llama: Open Foundation Models for Code
facebookresearch/codellama
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We release Code Llama, a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks.
Long-form factuality in large language models
Empirically, we demonstrate that LLM agents can outperform crowdsourced human annotators - on a set of ~16k individual facts, SAFE agrees with crowdsourced human annotators 72% of the time, and on a random subset of 100 disagreement cases, SAFE wins 76% of the time.
Visual Semantic Role Labeling
In this paper we introduce the problem of Visual Semantic Role Labeling: given an image we want to detect people doing actions and localize the objects of interaction.
Deep Learning for Hate Speech Detection in Tweets
pinkeshbadjatiya/twitter-hatespeech
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Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis.
