research
∙
07/19/2023
Thrust: Adaptively Propels Large Language Models with External Knowledge
Although large-scale pre-trained language models (PTLMs) are shown to en...
share
research
∙
07/16/2023
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning
Reasoning in mathematical domains remains a significant challenge for re...
research
∙
07/08/2023
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
Recently developed large language models have achieved remarkable succes...
research
∙
06/29/2023
Towards Personalized Cold-Start Recommendation with Prompts
Recommender systems play a crucial role in helping users discover inform...
research
∙
05/24/2023
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations
Traditional sentence embedding models encode sentences into vector repre...
research
∙
12/06/2022
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
Knowledge base completion (KBC) aims to predict the missing links in kno...
research
∙
12/02/2022
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
Narrative summarization aims to produce a distilled version of a narrati...
research
∙
11/09/2022
Efficient Zero-shot Event Extraction with Context-Definition Alignment
Event extraction (EE) is the task of identifying interested event mentio...
research
∙
10/28/2022
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Fully-parametric language models generally require a huge number of mode...
research
∙
10/22/2022
Salience Allocation as Guidance for Abstractive Summarization
Abstractive summarization models typically learn to capture the salient ...
research
∙
10/21/2022
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
Large-scale pretrained language models have made significant advances in...
research
∙
03/19/2022
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension
Comprehending a dialogue requires a model to capture diverse kinds of ke...
research
∙
03/16/2022
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References
We consider the problem of pretraining a two-stage open-domain question ...
research
∙
10/27/2021
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories
Word Sense Disambiguation (WSD) aims to automatically identify the exact...
research
∙
10/04/2020
Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management
People increasingly use social media to report emergencies, seek help or...
research
∙
05/28/2018
Temporal Event Knowledge Acquisition via Identifying Narratives
Inspired by the double temporality characteristic of narrative texts, we...
research
∙
10/12/2017
Using Context Events in Neural Network Models for Event Temporal Status Identification
Focusing on the task of identifying event temporal status, we find that ...
research
∙
07/28/2017
A Weakly Supervised Approach to Train Temporal Relation Classifiers and Acquire Regular Event Pairs Simultaneously
Capabilities of detecting temporal relations between two events can bene...
research
∙
07/28/2017