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09/10/2023
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation
Humans ask follow-up questions driven by curiosity, which reflects a cre...
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08/06/2023
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Large language models (LLMs) have demonstrated remarkable performance ac...
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05/23/2023
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback
The field of automatic evaluation of text generation made tremendous pro...
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05/23/2023
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
This paper investigates the capabilities of Large Language Models (LLMs)...
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05/23/2023
Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment
Despite the remarkable recent advances in language models, they still st...
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05/04/2023
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation
Conversational Question Generation (CQG) is a critical task for machines...
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04/07/2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
Cross-lingual topic models have been prevalent for cross-lingual text an...
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09/23/2022
Modeling and Leveraging Prerequisite Context in Recommendation
Prerequisites can play a crucial role in users' decision-making yet reco...
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09/14/2022
CoHS-CQG: Context and History Selection for Conversational Question Generation
Conversational question generation (CQG) serves as a vital task for mach...
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10/15/2021
ContraQA: Question Answering under Contradicting Contexts
With a rise in false, inaccurate, and misleading information in propagan...
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10/14/2021
Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features
Recent work finds modern natural language processing (NLP) models relyin...
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05/31/2021
Zero-shot Fact Verification by Claim Generation
Neural models for automated fact verification have achieved promising re...
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11/02/2020
Exploring Question-Specific Rewards for Generating Deep Questions
Recent question generation (QG) approaches often utilize the sequence-to...
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10/23/2020
Unsupervised Multi-hop Question Answering by Question Generation
Obtaining training data for Multi-hop Question Answering (QA) is extreme...
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10/07/2020
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Entity alignment (EA) aims at building a unified Knowledge Graph (KG) of...
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08/20/2020
Multi-modal Cooking Workflow Construction for Food Recipes
Understanding food recipe requires anticipating the implicit causal effe...
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07/08/2020
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base
Complex question answering over knowledge base (Complex KBQA) is challen...
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05/02/2020
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
The curse of knowledge can impede communication between experts and laym...
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04/27/2020
Semantic Graphs for Generating Deep Questions
This paper proposes the problem of Deep Question Generation (DQG), which...
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05/22/2019
Recent Advances in Neural Question Generation
Emerging research in Neural Question Generation (NQG) has started to int...
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11/21/2018