An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

4 September 2019

Jonathan K. Kummerfeld

Papers citing "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction"

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$$\texttt{DIAMONDs}$: A Dataset for $\mathbb{D}$ynamic $\mathbb{I}$nformation $\mathbb{A}$nd $\mathbb{M}$ental modeling $\mathbb{O}$f $\mathbb{N}$umeric $\mathbb{D}$iscussions$ $\texttt{DIAMONDs}$ : A Dataset for $\mathbb{D}$ ynamic $\mathbb{I}$ nformation $\mathbb{A}$ nd $\mathbb{M}$ ental modeling $\mathbb{O}$ f $\mathbb{N}$ umeric $\mathbb{D}$ iscussions Sayontan Ghosh Mahnaz Koupaee Yash Kumar Lal Pegah Alipoormolabashi Mohammad Saqib Hasan Jun Seok Kang Niranjan Balasubramanian 17 0 0 19 May 2025
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data Aaron Rodrigues Mahmood Hegazy Azzam Naeem AI4TS SyDa 42 0 0 16 May 2025
Focus Directions Make Your Language Models Pay More Attention to Relevant Contexts Youxiang Zhu Ruochen Li Danqing Wang Daniel Haehn Xiaohui Liang LRM 69 1 0 30 Mar 2025
SWI: Speaking with Intent in Large Language Models Yuwei Yin EunJeong Hwang Giuseppe Carenini LRM 58 0 0 27 Mar 2025
SPILL: Domain-Adaptive Intent Clustering based on Selection and Pooling with Large Language Models I-Fan Lin Faegheh Hasibi Suzan Verberne 52 0 0 19 Mar 2025
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention Emily Xiao Chin-Jou Li Yilin Zhang Graham Neubig Amanda Bertsch BDL 78 0 0 11 Mar 2025
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency Henry Peng Zou Zhengyao Gu Yue Zhou Yankai Chen Weizhi Zhang Liancheng Fang Yibo Wang Yangning Li Kay Liu Philip S. Yu 81 1 0 26 Feb 2025
GLEAN: Generalized Category Discovery with Diverse and Quality-Enhanced LLM Feedback Henry Peng Zou Siffi Singh Yi Nian Jianfeng He Jason (Jinglun) Cai Saab Mansour Hang Su 59 2 0 25 Feb 2025
Vision-centric Token Compression in Large Language Model Ling Xing Alex Jinpeng Wang Rui Yan Xiangbo Shu Jinhui Tang VLM 70 0 0 02 Feb 2025
Shared DIFF Transformer Yueyang Cang Yuhang Liu Xiaoteng Zhang Xiangju Wang 40 0 0 29 Jan 2025
TARDiS : Text Augmentation for Refining Diversity and Separability Kyungmin Kim Sanghun Im Gibaeg Kim Heung-Seon Oh VLM 39 0 0 06 Jan 2025
Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models Zhisong Zhang Yan Wang Xinting Huang Tianqing Fang Han Zhang Chenlong Deng Shuaiyi Li Dong Yu 98 2 0 21 Dec 2024
Continual Learning Using a Kernel-Based Method Over Foundation Models Saleh Momeni Sahisnu Mazumder Bing-Quan Liu CLL 93 1 0 20 Dec 2024
In-context Continual Learning Assisted by an External Continual Learner Saleh Momeni Sahisnu Mazumder Zixuan Ke Bing Liu CLL 106 0 0 20 Dec 2024
Intent-Aware Dialogue Generation and Multi-Task Contrastive Learning for Multi-Turn Intent Classification Junhua Liu Yong Keat Tan Bin Fu Kwan Hui Lim 74 1 0 21 Nov 2024
Predicting User Intents and Musical Attributes from Music Discovery Conversations Daeyong Kwon Seungheon Doh Juhan Nam 116 0 0 19 Nov 2024
IntentGPT: Few-shot Intent Discovery with Large Language Models Juan A. Rodriguez Nicholas Botzer David Vazquez Christopher Pal M. Pedersoli I. Laradji VLM 73 3 0 16 Nov 2024
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents Ankan Mullick Sombit Bose Abhilash Nandy G. Chaitanya Pawan Goyal 29 0 0 29 Oct 2024
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery Yimin Deng Yuxia Wu Guoshuai Zhao Li Zhu Xueming Qian 37 0 0 26 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 44 2 0 23 Oct 2024
A Survey of Ontology Expansion for Conversational Understanding Jinggui Liang Yuxia Wu Yuan Fang Hao Fei Lizi Liao 40 1 0 19 Oct 2024
Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning Mrinal Rawat Hithesh Sankararaman Victor Barrès 34 0 0 18 Oct 2024
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks Tianyi Zhang Atta Norouzian Aanchan Mohan Frederick Ducatelle 32 0 0 17 Oct 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks Xinyue Liu Yunlong Gao Linlin Zong Bo Xu VLM 40 1 0 14 Oct 2024
Differential Transformer Tianzhu Ye Li Dong Yuqing Xia Yutao Sun Yi Zhu Gao Huang Furu Wei 254 0 0 07 Oct 2024
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly Howard Yen Tianyu Gao Minmin Hou Ke Ding Daniel Fleischer Peter Izsak Moshe Wasserblat Danqi Chen ALM ELM 73 27 0 03 Oct 2024
How to Train Long-Context Language Models (Effectively) Tianyu Gao Alexander Wettig Howard Yen Danqi Chen RALM 80 39 0 03 Oct 2024
Generate then Refine: Data Augmentation for Zero-shot Intent Detection I-Fan Lin Faegheh Hasibi Suzan Verberne VLM 36 2 0 02 Oct 2024
Intent Detection in the Age of LLMs Gaurav Arora Shreya Jain Srujana Merugu 24 7 0 02 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 72 3 0 18 Sep 2024
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection Bo Liu Liming Zhan Yujie Feng Zexin Lu Chengqiang Xie Lei Xue Albert Y. S. Lam Xiao-Ming Wu OODD 41 1 0 17 Sep 2024
Practical token pruning for foundation models in few-shot conversational virtual assistant systems Haode Qi Cheng Qian Jian Ni Pratyush Singh Reza Fazeli Gengyu Wang Zhongzheng Shu Eric Wayne Juergen Bross 32 0 0 21 Aug 2024
Why Misinformation is Created? Detecting them by Integrating Intent Features Bing Wang Ximing Li C. Li Bo Fu Songwen Pei Shengsheng Wang 51 2 0 27 Jul 2024
Exploring Description-Augmented Dataless Intent Classification Ruoyu Hu Foaad Khosmood Abbas Edalat AI4TS 50 0 0 25 Jul 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression Aryan Gulati Xingjian Dong Carlos Hurtado Sarath Shekkizhar Swabha Swayamdipta Antonio Ortega OODD 25 2 0 18 Jul 2024
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning Bo Wang Tsunenori Mine AAML 53 0 0 12 Jul 2024
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations Ritam Dutt Zhen Wu Kelly Shi Divyanshu Sheth Prakhar Gupta Carolyn Rose 48 2 0 27 Jun 2024
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors Vikas Yadav Zheng Tang Vijay Srinivasan 40 8 0 24 Jun 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts Chang Tian Matthew B. Blaschko Wenpeng Yin Mingzhe Xing Yinliang Yue Marie-Francine Moens 62 2 0 18 Jun 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey Lin Long Rui Wang Ruixuan Xiao Junbo Zhao Xiao Ding Gang Chen Haobo Wang SyDa 68 95 0 14 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yutang Ge Xiaowen Dong Yuguang Wang 53 0 0 13 Jun 2024
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models Zhenyi Lu Jie Tian Wei Wei Xiaoye Qu Yu Cheng Wenfeng Xie Dangyang Chen 40 5 0 11 Jun 2024
Towards Lifelong Learning of Large Language Models: A Survey Junhao Zheng Shengjie Qiu Chengming Shi Qianli Ma KELM CLL 35 15 0 10 Jun 2024
Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses Maryam Amirizaniani Elias Martin Maryna Sivachenko A. Mashhadi Chirag Shah LRM 48 12 0 09 Jun 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery Shun Zhang Chaoran Yan Jian Yang Jing Liu Ying Mo Jiaqi Bai Tongliang Li Zheng Li 36 2 0 05 Jun 2024
From Zero to Hero: Cold-Start Anomaly Detection Tal Reiss George Kour Naama Zwerdling Ateret Anaby-Tavor Yedid Hoshen 44 0 0 30 May 2024
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification Hossam Zawbaa Wael Rashwan Sourav Dutta H. Assem OODD 48 0 0 30 May 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing Han Liu Siyang Zhao Xiaotong Zhang Feng Zhang Wei Wang Fenglong Ma Hongyang Chen Hong Yu Xianchao Zhang VLM 35 2 0 06 May 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch Maor Ivgi Uri Alon Jonathan Berant Matthew R. Gormley Matthew R. Gormley Graham Neubig ReLM AIMat 95 65 0 30 Apr 2024
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes Asaf Yehudai Elron Bandel 44 1 0 18 Apr 2024