2024-06-04,EasyInstructis accepted by ACL 2024 System Demonstration Track. 🎉🎉 2024-02-06 We release a new paper: "EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models" with an HF demoEasyInstruct. ...
2024-06-04, 🎉🎉EasyEdit Paperhas been accepted by theACL 2024System Demonstration Track. 2024-06-03, We released a paper titled"WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models", along with introducinga new editing task:Continuous Knowledge Editingand ...
各类论文数量统计 今年的 ACL 共接收了 765 篇论文,其中长论文 447 篇,短论文 213 篇,System Demonstration 论文 34 篇,student workshop 论文 71 篇。 各类Paper 数量 各类Paper 占比 关键词分析 通过对接收论文列表进行统计,机器之心找出了今年 ACL 接收论文的十大关键词,如下图所示。从图中可以看出,除了「...
The ACL-IJCNLP 2015 System Demonstration Program Committee invites proposals for the Demonstrations Program. We encourage both the submission of early research prototypes and mature systems. Areas of interest include all topics related to theoretical and applied computational linguistics, such as (but not...
UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification...
简介:总结 | ACL2022主会论文分类整理(三) 评估 Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ...
UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification...
Special Track【特殊任务】 作者: 蒋锦昊 @博儒,中国人民大学高瓴人工智能学院博士一年级在读,导师为赵鑫教授,研究方向为NLP。 导读 ACL 2022是CCF A类会议,人工智能领域自然语言处理(Natural Language Processing,NLP)方向最权威的国际会议之一。第60届计算语言学协会计划于今年5月22日-5月27日在爱尔兰都柏林召开。
UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification...
demonstration to generate the rationale for any new input. For instance, in acommonsense question answering task, given the input question “Sammy wanted to go to where the people are. Where might he go? Answer Choices: (a) populated areas, (b) race track, (c) desert, (d) apartment, ...