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08/03/2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
AI alignment refers to models acting towards human-intended goals, prefe...
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07/20/2023
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
Evaluation of Large Language Models (LLMs) is challenging because aligni...
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05/23/2023
Can Large Language Models Infer and Disagree Like Humans?
Large Language Models (LLMs) have shown stellar achievements in solving ...
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05/11/2023
FactKG: Fact Verification via Reasoning on Knowledge Graphs
In real world applications, knowledge graphs (KG) are widely used in var...
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04/05/2023
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy
We address an important gap in detection of political bias in news artic...
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11/17/2022
Data-Efficient Autoregressive Document Retrieval for Fact Verification
Document retrieval is a core component of many knowledge-intensive natur...
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06/10/2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Fact verification has attracted a lot of attention in the machine learni...
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06/02/2021
Database Reasoning Over Text
Neural models have shown impressive performance gains in answering queri...
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06/02/2021
Evidence-based Factual Error Correction
This paper introduces the task of factual error correction: performing e...
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04/01/2021
Evidence-based Verification for Real World Information Needs
Claim verification is the task of predicting the veracity of written sta...
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12/31/2020
Factual Error Correction of Claims
This paper introduces the task of factual error correction: performing e...
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10/14/2020
Neural Databases
In recent years, neural networks have shown impressive performance gains...
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09/04/2020
KILT: a Benchmark for Knowledge Intensive Language Tasks
Challenging problems such as open-domain question answering, fact checki...
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04/29/2020
Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation
The biases present in training datasets have been shown to be affecting ...
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04/24/2019
Generating Token-Level Explanations for Natural Language Inference
The task of Natural Language Inference (NLI) is widely modeled as superv...
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03/13/2019
Adversarial attacks against Fact Extraction and VERification
This paper describes a baseline for the second iteration of the Fact Ext...
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11/27/2018
The Fact Extraction and VERification (FEVER) Shared Task
We present the results of the first Fact Extraction and VERification (FE...
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06/20/2018
Automated Fact Checking: Task formulations, methods and future directions
The recently increased focus on misinformation has stimulated research i...
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03/14/2018
