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08/30/2023
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
In recent years, there have been remarkable advancements in the performa...
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08/24/2023
Code Llama: Open Foundation Models for Code
We release Code Llama, a family of large language models for code based ...
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07/21/2023
Prompting Large Language Models with Speech Recognition Abilities
Large language models have proven themselves highly flexible, able to so...
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05/23/2023
Text-guided 3D Human Generation from 2D Collections
3D human modeling has been widely used for engaging interaction in gamin...
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05/23/2023
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality
Contrastively trained vision-language models have achieved remarkable pr...
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05/21/2023
Multi-Head State Space Model for Speech Recognition
State space models (SSMs) have recently shown promising results on small...
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05/04/2023
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation
We propose a new two-stage pre-training framework for video-to-text gene...
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03/09/2023
3DGen: Triplane Latent Diffusion for Textured Mesh Generation
Latent diffusion models for image generation have crossed a quality thre...
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03/07/2023
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding
Indoor scene synthesis involves automatically picking and placing furnit...
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10/25/2022
Bridging the Training-Inference Gap for Dense Phrase Retrieval
Building dense retrievers requires a series of standard procedures, incl...
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09/21/2022
Adapting Pretrained Text-to-Text Models for Long Text Sequences
We present an empirical study of adapting an existing pretrained text-to...
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01/10/2022
SCROLLS: Standardized CompaRison Over Long Language Sequences
NLP benchmarks have largely focused on short texts, such as sentences an...
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12/14/2021
Boosted Dense Retriever
We propose DrBoost, a dense retrieval ensemble inspired by boosting. DrB...
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12/14/2021
Simple Local Attentions Remain Competitive for Long-Context Tasks
Many NLP tasks require processing long contexts beyond the length limit ...
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12/10/2021
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation
Most existing vision-language pre-training methods focus on understandin...
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10/13/2021
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
Since late 2019, COVID-19 has quickly emerged as the newest biomedical d...
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05/31/2021
Zero-shot Fact Verification by Claim Generation
Neural models for automated fact verification have achieved promising re...
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10/23/2020
Unsupervised Multi-hop Question Answering by Question Generation
Obtaining training data for Multi-hop Question Answering (QA) is extreme...
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09/27/2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
We propose a simple and efficient multi-hop dense retrieval approach for...
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04/30/2020
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering
To extract answers from a large corpus, open-domain question answering (...
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04/15/2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Existing question answering datasets focus on dealing with homogeneous i...
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04/06/2020
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games
We propose the new problem of learning to recover reasoning chains from ...
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12/20/2019
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
Recent breakthroughs of pretrained language models have shown the effect...
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10/31/2019
Do Multi-hop Readers Dream of Reasoning Chains?
General Question Answering (QA) systems over texts require the multi-hop...
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09/17/2019
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering
A key challenge of multi-hop question answering (QA) in the open-domain ...
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09/13/2019
Towards Open-Domain Named Entity Recognition via Neural Correction Models
Named Entity Recognition (NER) plays an important role in a wide range o...
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09/09/2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
Many tasks in natural language processing can be viewed as multi-label c...
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08/13/2019
Meta Reasoning over Knowledge Graphs
The ability to reason over learned knowledge is an innate ability for hu...
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07/14/2019
TWEETQA: A Social Media Focused Question Answering Dataset
With social media becoming increasingly pop-ular on which lots of news a...
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06/11/2019
Self-Supervised Learning for Contextualized Extractive Summarization
Existing models for extractive summarization are usually trained from sc...
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05/17/2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
We propose a new end-to-end question answering model, which learns to ag...
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03/06/2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
Existing entity typing systems usually exploit the type hierarchy provid...
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03/06/2019
Sentence Embedding Alignment for Lifelong Relation Extraction
Conventional approaches to relation extraction usually require a fixed s...
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11/03/2018
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment
Recent studies show that 85 avoid harassment and assault. Despite this, ...
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08/27/2018
One-Shot Relational Learning for Knowledge Graphs
Knowledge graphs (KGs) are the key components of various natural languag...
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06/16/2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
We investigate the task of learning to follow natural language instructi...
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03/21/2018
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
Existing research studies on vision and language grounding for robot nav...
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03/17/2018
Variational Knowledge Graph Reasoning
Inferring missing links in knowledge graphs (KG) has attracted a lot of ...
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07/20/2017