ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
Comments ACL 2023 Findings (Code: https://github.com/yueyu1030/ReGen)
期刊&会议
ACL
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
RMSSinger: Realistic-Music-Score based Singing Voice Synthesis
Comments Accepted by Finding of ACL2023
Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting
Comments 7 pages, 5 figures. To be published in the Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 9-14 July 2023, Toronto, Canada
Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search
Comments Accepted for ACL 2023
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems
Comments Accepted at ACL 2023 Industry Track
Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation
Journal ref Association for Computational Linguistics, May 2023, Dubrovnik, Croatia. pp.72-81
DarkBERT: A Language Model for the Dark Side of the Internet
Comments 9 pages (main paper), 17 pages (including bibliography and appendix), to appear at the ACL 2023 Main Conference
Distilling Reasoning Capabilities into Smaller Language Models
Comments Accepted at ACL 2023 (Findings)
AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation
Comments Findings of ACL 2023
Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability
Comments Accepted at ACL 2023
OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding
Comments ACL2023 Demo Paper
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
Comments This paper will be published in the proceedings of Findings of ACL 2023
A Survey on Zero Pronoun Translation
Comments ACL2023 Main Conference Long Paper. Longyue Wang and Siyou Liu contributed equally to this work
Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy
Comments 10 pages, Findings of ACL 2023
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations
Comments Accepted by ACL 2023 main conference
Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog
Comments Accepted to ACL 2023 (Main Conference)
Additive manifesto decomposition: A policy domain aware method for understanding party positioning
Comments Findings of ACL 2023
Probing the Role of Positional Information in Vision-Language Models
Comments Findings of the Association for Computational Linguistics: NAACL 2022, pages 1031-1041, Seattle, United States. Association for Computational Linguistics
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression
Comments Accepted to ACL 2023 Main Conference
Smart Word Suggestions for Writing Assistance
Comments Accepted by Findings of ACL23
Balancing Lexical and Semantic Quality in Abstractive Summarization
Comments Accepted to the main conference of ACL 2023 short
Clustering-Aware Negative Sampling for Unsupervised Sentence Representation
Comments accepted to Finding of ACL2023, 16 pages
Application-Agnostic Language Modeling for On-Device ASR
Comments accepted for ACL 2023 industry track
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
Comments ACL 2023 Main Conference
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
Comments Accepted to Findings of ACL 2023; The code is available at https://github.com/princeton-nlp/WhatICLLearns
K-UniMorph: Korean Universal Morphology and its Feature Schema
Comments Findings of the Association for Computational Linguistics: ACL 2023 (Camera-ready)
UKP-SQuARE v3: A Platform for Multi-Agent QA Research
Comments ACL 2023 Demo Paper
An Inclusive Notion of Text
Comments To appear in ACL 2023
Pruning Pre-trained Language Models Without Fine-Tuning
Comments Accepted to ACL 2023; Code and models are available at https://github.com/kongds/SMP
Large Language Models are Built-in Autoregressive Search Engines
Comments Accepted to ACL 2023 Findings
