research
∙
09/01/2023
Amortizing Pragmatic Program Synthesis with Rankings
In program synthesis, an intelligent system takes in a set of user-gener...
share
research
∙
06/15/2023
Pragmatic Inference with a CLIP Listener for Contrastive Captioning
We propose a simple yet effective and robust method for contrastive capt...
research
∙
05/26/2023
Generating Images with Multimodal Language Models
We propose a method to fuse frozen text-only large language models (LLMs...
research
∙
05/09/2023
StarCoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the r...
research
∙
01/31/2023
Grounding Language Models to Images for Multimodal Generation
We propose an efficient method to ground pretrained text-only language m...
research
∙
01/09/2023
SantaCoder: don't reach for the stars!
The BigCode project is an open-scientific collaboration working on the r...
research
∙
12/20/2022
Execution-Based Evaluation for Open-Domain Code Generation
To extend the scope of coding queries to more realistic settings, we pro...
research
∙
11/29/2022
Coder Reviewer Reranking for Code Generation
Sampling diverse programs from a code language model and reranking with ...
research
∙
11/28/2022
G^3: Geolocation via Guidebook Grounding
We demonstrate how language can improve geolocation: the task of predict...
research
∙
11/22/2022
AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies
Existing approaches built separate classifiers to detect nonsense in dia...
research
∙
11/15/2022
Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches
People rely heavily on context to enrich meaning beyond what is literall...
research
∙
10/27/2022
Contrastive Decoding: Open-ended Text Generation as Optimization
Likelihood, although useful as a training loss, is a poor search objecti...
research
∙
04/25/2022
Natural Language to Code Translation with Execution
Generative models of code, pretrained on large corpora of programs, have...
research
∙
04/12/2022
InCoder: A Generative Model for Code Infilling and Synthesis
Code is seldom written in a single left-to-right pass and is instead rep...
research
∙
04/05/2022
Inferring Rewards from Language in Context
In classic instruction following, language like "I'd like the JetBlue fl...
research
∙
09/10/2021
Reference-Centric Models for Grounded Collaborative Dialogue
We present a grounded neural dialogue model that successfully collaborat...
research
∙
10/24/2020
Modularity Improves Out-of-Domain Instruction Following
We propose a modular architecture for following natural language instruc...
research
∙
05/27/2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
Textual representation learners trained on large amounts of data have ac...
research
∙
05/07/2020
Learning to Segment Actions from Observation and Narration
We apply a generative segmental model of task structure, guided by narra...
research
∙
07/09/2019
Cross-Domain Generalization of Neural Constituency Parsers
Neural parsers obtain state-of-the-art results on benchmark treebanks fo...
research
∙
06/02/2019
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) requires grounding instructions, su...
research
∙
04/02/2019
Pragmatically Informative Text Generation
We improve the informativeness of models for conditional text generation...
research
∙
06/08/2018
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Dynamic oracles provide strong supervision for training constituency par...
research
∙
06/07/2018
Speaker-Follower Models for Vision-and-Language Navigation
Navigation guided by natural language instructions presents a challengin...
research
∙
11/14/2017
Unified Pragmatic Models for Generating and Following Instructions
We extend models for both following and generating natural language inst...
research
∙
07/27/2017
Effective Inference for Generative Neural Parsing
Generative neural models have recently achieved state-of-the-art results...
research
∙
07/10/2017
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
Recent work has proposed several generative neural models for constituen...
research
∙
03/11/2016
Towards using social media to identify individuals at risk for preventable chronic illness
We describe a strategy for the acquisition of training data necessary to...
research
∙
12/18/2014