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09/18/2023
Unified Coarse-to-Fine Alignment for Video-Text Retrieval
The canonical approach to video-text retrieval leverages a coarse-graine...
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07/05/2023
Exploring Continual Learning for Code Generation Models
Large-scale code generation models such as Codex and CodeT5 have achieve...
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07/04/2023
On Conditional and Compositional Language Model Differentiable Prompting
Prompts have been shown to be an effective method to adapt a frozen Pret...
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06/15/2023
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind
Large Language Models (LLMs) perform complex reasoning by generating exp...
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06/09/2023
Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects
Biological vision systems make adaptive use of context to recognize obje...
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06/02/2023
Resolving Interference When Merging Models
Transfer learning - i.e., further fine-tuning a pre-trained model on a d...
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05/30/2023
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) requires the agent to follow langua...
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05/27/2023
Non-Sequential Graph Script Induction via Multimedia Grounding
Online resources such as WikiHow compile a wide range of scripts for per...
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05/26/2023
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
Autoregressive language models are trained by minimizing the cross-entro...
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05/24/2023
Visual Programming for Text-to-Image Generation and Evaluation
As large language models have demonstrated impressive performance in man...
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05/19/2023
Any-to-Any Generation via Composable Diffusion
We present Composable Diffusion (CoDi), a novel generative model capable...
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05/18/2023
Paxion: Patching Action Knowledge in Video-Language Foundation Models
Action knowledge involves the understanding of textual, visual, and temp...
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05/11/2023
Self-Chained Image-Language Model for Video Localization and Question Answering
Recent studies have shown promising results on utilizing pre-trained ima...
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05/08/2023
HistAlign: Improving Context Dependency in Language Generation by Aligning with History
Language models (LMs) can generate hallucinations and incoherent outputs...
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04/28/2023
An Empirical Study of Multimodal Model Merging
Model merging (e.g., via interpolation or task arithmetic) fuses multipl...
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04/21/2023
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
Multi-step reasoning ability is fundamental to many natural language tas...
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04/13/2023
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation
Spatial control is a core capability in controllable image generation. A...
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04/11/2023
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics
Vision-and-Language Navigation (VLN) is the task that requires an agent ...
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03/29/2023
Hierarchical Video-Moment Retrieval and Step-Captioning
There is growing interest in searching for information from large video ...
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03/28/2023
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models
As general purpose vision models get increasingly effective at a wide se...
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03/06/2023
Faithfulness-Aware Decoding Strategies for Abstractive Summarization
Despite significant progress in understanding and improving faithfulness...
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01/10/2023
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
Language models are known to learn a great quantity of factual informati...
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12/16/2022
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
Prompting large language models has enabled significant recent progress ...
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12/15/2022
Vision Transformers are Parameter-Efficient Audio-Visual Learners
Vision transformers (ViTs) have achieved impressive results on various c...
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12/09/2022
VindLU: A Recipe for Effective Video-and-Language Pretraining
The last several years have witnessed remarkable progress in video-and-l...
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11/28/2022
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality
Recent datasets expose the lack of the systematic generalization ability...
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11/21/2022
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention
We present Perceiver-VL, a vision-and-language framework that efficientl...
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11/15/2022
Evaluating the Factual Consistency of Large Language Models Through Summarization
While large language models (LLMs) have proven to be effective on a larg...
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11/14/2022
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
Recent work on explainable NLP has shown that few-shot prompting can ena...
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11/04/2022
Evaluating and Improving Factuality in Multimodal Abstractive Summarization
Current metrics for evaluating factuality for abstractive document summa...
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10/18/2022
Exclusive Supermask Subnetwork Training for Continual Learning
Continual Learning (CL) methods mainly focus on avoiding catastrophic fo...
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09/28/2022
TVLT: Textless Vision-Language Transformer
In this work, we present the Textless Vision-Language Transformer (TVLT)...
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09/21/2022
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
Current abstractive summarization models either suffer from a lack of cl...
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09/13/2022
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
Recent advances in text-to-image synthesis have led to large pretrained ...
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09/08/2022
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization
The problems of unfaithful summaries have been widely discussed under th...
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07/25/2022
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models
While vision-and-language models perform well on tasks such as visual qu...
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07/08/2022
CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination
As humans, we can modify our assumptions about a scene by imagining alte...
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07/08/2022
SETSum: Summarization and Visualization of Student Evaluations of Teaching
Student Evaluations of Teaching (SETs) are widely used in colleges and u...
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07/05/2022
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations
Vision-and-Language Navigation (VLN) tasks require an agent to navigate ...
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06/30/2022
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging?
Previous Part-Of-Speech (POS) induction models usually assume certain in...
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06/22/2022
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives
Many past works aim to improve visual reasoning in models by supervising...
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06/13/2022
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Fine-tuning large pre-trained models on downstream tasks has been adopte...
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06/07/2022
Revealing Single Frame Bias for Video-and-Language Learning
Training an effective video-and-language model intuitively requires mult...
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05/26/2022
Fine-grained Image Captioning with CLIP Reward
Modern image captioning models are usually trained with text similarity ...
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05/22/2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
The goal of this work is to build flexible video-language models that ca...
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05/18/2022
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
Natural language guided embodied task completion is a challenging proble...
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05/16/2022
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
We present FactPEGASUS, an abstractive summarization model that addresse...
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05/11/2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Few-shot in-context learning (ICL) enables pre-trained language models t...
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05/04/2022
Efficient Few-Shot Fine-Tuning for Opinion Summarization
Abstractive summarization models are typically pre-trained on large amou...
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04/29/2022
