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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...
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06/27/2023
GroundNLQ @ Ego4D Natural Language Queries Challenge 2023
In this report, we present our champion solution for Ego4D Natural Langu...
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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...
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05/17/2023
MemoryBank: Enhancing Large Language Models with Long-Term Memory
Revolutionary advancements in Large Language Models have drastically res...
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04/13/2023
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Evaluating the general abilities of foundation models to tackle human-le...
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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...
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10/20/2022
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
This paper presents ReasonFormer, a unified reasoning framework for mirr...
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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...
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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...
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05/18/2022
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
We present LogiGAN, an unsupervised adversarial pre-training framework f...
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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-...
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04/05/2021
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Producing the embedding of a sentence in an unsupervised way is valuable...
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12/28/2020
Syntax-Enhanced Pre-trained Model
We study the problem of leveraging the syntactic structure of text to en...
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10/15/2020
Neural Deepfake Detection with Factual Structure of Text
Deepfake detection, the task of automatically discriminating machine-gen...
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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...
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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...
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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...
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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...
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09/05/2018
