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09/17/2023
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
Previous research in multi-document news summarization has typically con...
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09/12/2023
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair
Automatic program repair (APR) is crucial to reduce manual debugging eff...
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08/24/2023
Exploring the Integration Strategies of Retriever and Large Language Models
The integration of retrieved passages and large language models (LLMs), ...
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08/06/2023
PromptSum: Parameter-Efficient Controllable Abstractive Summarization
Prompt tuning (PT), a parameter-efficient technique that only tunes the ...
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06/20/2023
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
Large language models (LLMs) are known to effectively perform tasks by s...
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06/01/2023
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning
Large language models (LLMs) have shown impressive performance in follow...
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05/31/2023
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain
Non-communicable diseases (NCDs) are a leading cause of global deaths, n...
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05/30/2023
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages
Text simplification research has mostly focused on sentence-level simpli...
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05/29/2023
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
The development of large language models (LLMs) such as ChatGPT has brou...
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05/24/2023
Unlocking Temporal Question Answering for Large Language Models Using Code Execution
Large language models (LLMs) have made significant progress in natural l...
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05/24/2023
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning
Charts are very popular for analyzing data, visualizing key insights and...
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05/23/2023
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
With the recent appearance of LLMs in practical settings, having methods...
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05/22/2023
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases
We introduce Chain of Knowledge (CoK), a framework that augments large l...
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05/11/2023
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications
Large-scale pre-trained language models have shown outstanding performan...
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05/05/2023
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
As large language models (LLMs) have become the norm in NLP, demonstrati...
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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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05/03/2023
Explaining Language Models' Predictions with High-Impact Concepts
The emergence of large-scale pretrained language models has posed unprec...
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04/03/2023
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
Cross-lingual transfer of language models trained on high-resource langu...
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04/02/2023
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets
Low-quality data can cause downstream problems in high-stakes applicatio...
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03/20/2023
Retrieving Multimodal Information for Augmented Generation: A Survey
In this survey, we review methods that retrieve multimodal knowledge to ...
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03/07/2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation
Interpretability and efficiency are two important considerations for the...
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03/06/2023
xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
The ability to solve problems is a hallmark of intelligence and has been...
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02/16/2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Prompt tuning (PT) which only tunes the embeddings of an additional sequ...
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01/31/2023
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation
State-of-the-art neural text generation models are typically trained to ...
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12/21/2022
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning
Pre-trained large language models can efficiently interpolate human-writ...
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12/20/2022
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective
Are large language models (LLMs) like GPT-3 psychologically safe? In thi...
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12/20/2022
Is GPT-3 a Good Data Annotator?
GPT-3 (Generative Pre-trained Transformer 3) is a large-scale autoregres...
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12/19/2022
Unsupervised Summarization Re-ranking
With the rise of task-specific pre-training objectives, abstractive summ...
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12/15/2022
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
Human evaluation is the foundation upon which the evaluation of both sum...
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11/30/2022
Learning Label Modular Prompts for Text Classification in the Wild
Machine learning models usually assume i.i.d data during training and te...
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11/29/2022
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems
We introduce BotSIM, a modular, open-source Bot SIMulation environment w...
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11/16/2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Due to the huge amount of parameters, fine-tuning of pretrained language...
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11/08/2022
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
Sparsity of formal knowledge and roughness of non-ontological constructi...
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10/17/2022
Towards Summary Candidates Fusion
Sequence-to-sequence deep neural models fine-tuned for abstractive summa...
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10/12/2022
OpenCQA: Open-ended Question Answering with Charts
Charts are very popular to analyze data and convey important insights. P...
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09/23/2022
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge
Conversational Recommender Systems (CRS) has become an emerging research...
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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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05/31/2022
Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model
Numerous recent work on unsupervised machine translation (UMT) implies t...
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03/25/2022
Data Selection Curriculum for Neural Machine Translation
Neural Machine Translation (NMT) models are typically trained on heterog...
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03/19/2022
ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning
Charts are very popular for analyzing data. When exploring charts, peopl...
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03/13/2022
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization
Sequence-to-sequence neural networks have recently achieved great succes...
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03/12/2022
Chart-to-Text: A Large-Scale Benchmark for Chart Summarization
Charts are commonly used for exploring data and communicating insights. ...
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03/04/2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
Existing continual relation learning (CRL) methods rely on plenty of lab...
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11/22/2021
Knowledge Based Multilingual Language Model
Knowledge enriched language representation learning has shown promising ...
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10/16/2021
A Unified Speaker Adaptation Approach for ASR
Transformer models have been used in automatic speech recognition (ASR) ...
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10/15/2021
Cascaded Fast and Slow Models for Efficient Semantic Code Search
The goal of natural language semantic code search is to retrieve a seman...
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10/14/2021
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems
Much recent progress in task-oriented dialogue (ToD) systems has been dr...
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10/14/2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Existing approaches to lifelong language learning rely on plenty of labe...
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10/14/2021
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling
Although large-scale pre-trained neural models have shown impressive per...
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09/02/2021
