research
∙
09/19/2023
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Learnersourcing involves students generating and sharing learning resour...
share
research
∙
06/27/2023
GroundNLQ @ Ego4D Natural Language Queries Challenge 2023
In this report, we present our champion solution for Ego4D Natural Langu...
research
∙
05/21/2023
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text
Pre-trained large language model (LLM) is under exploration to perform N...
research
∙
05/17/2023
MemoryBank: Enhancing Large Language Models with Long-Term Memory
Revolutionary advancements in Large Language Models have drastically res...
research
∙
04/13/2023
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Evaluating the general abilities of foundation models to tackle human-le...
research
∙
11/16/2022
An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022
This technical report describes the CONE approach for Ego4D Natural Lang...
research
∙
10/20/2022
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
This paper presents ReasonFormer, a unified reasoning framework for mirr...
research
∙
10/11/2022
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA
Retrieving evidences from tabular and textual resources is essential for...
research
∙
09/22/2022
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
Video temporal grounding (VTG) targets to localize temporal moments in a...
research
∙
05/18/2022
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
We present LogiGAN, an unsupervised adversarial pre-training framework f...
research
∙
05/13/2022
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering
A key challenge in video question answering is how to realize the cross-...
research
∙
04/05/2021
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Producing the embedding of a sentence in an unsupervised way is valuable...
research
∙
12/28/2020
Syntax-Enhanced Pre-trained Model
We study the problem of leveraging the syntactic structure of text to en...
research
∙
10/15/2020
Neural Deepfake Detection with Factual Structure of Text
Deepfake detection, the task of automatically discriminating machine-gen...
research
∙
04/29/2020
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
We study the detection of propagandistic text fragments in news articles...
research
∙
04/28/2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Verifying the correctness of a textual statement requires not only seman...
research
∙
04/25/2020
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts
We study question answering over a dynamic textual environment. Although...
research
∙
09/09/2019
Reasoning Over Semantic-Level Graph for Fact Checking
We study fact-checking in this paper, which aims to verify a textual cla...
research
∙
09/05/2018