Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Do Code LLMs Understand Design Patterns?

[BibT_eX]

[DOI]

Zhenyu Pan

Proceedings of the IEEE/ACM International Workshop on Large Language Models for Code, 2025

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

On the Role of Attention Heads in Large Language Model Safety.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CPO: Addressing Reward Ambiguity in Role-playing Dialogue via Comparative Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Supervised Optimism Correction: Be Confident When LLMs Are Sure.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SDPO: Segment-Level Direct Preference Optimization for Social Agents.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Reverse Preference Optimization for Complex Instruction Following.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Debate Helps Weak-to-Strong Generalization.

[BibT_eX]

[DOI]

Hao Lang

Fei Huang

Yongbin Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Sequence for updated Cbr-bnsp-2 gene, C. briggsae alleles, C. nigoni alleles, related vectors and a C. tribulationis scaffold.

[BibT_eX]

[DOI]

Yongbin Li

Liu Xiao

Dataset, February, 2024

A Survey on Out-of-Distribution Detection in NLP.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Unifying Structured Data as Graph for Data-to-Text Pre-Training.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2024

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues.

[BibT_eX]

[DOI]

CoRR, 2024

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement.

[BibT_eX]

[DOI]

CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.

[BibT_eX]

[DOI]

CoRR, 2024

On the Role of Attention Heads in Large Language Model Safety.

[BibT_eX]

[DOI]

CoRR, 2024

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?

[BibT_eX]

[DOI]

CoRR, 2024

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends.

[BibT_eX]

[DOI]

CoRR, 2024

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

[BibT_eX]

[DOI]

CoRR, 2024

Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement.

[BibT_eX]

[DOI]

CoRR, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

[BibT_eX]

[DOI]

CoRR, 2024

How to Understand Whole Software Repository?

[BibT_eX]

[DOI]

CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Self-Evolution of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Retrieval: Building an Information Retrieval System with One Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Automated segmentation and recognition of <i>C. elegans</i> whole-body cells.

[BibT_eX]

[DOI]

Bioinform., 2024

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fine-Tuning Language Models with Reward Learning on Policy.

[BibT_eX]

[DOI]

Hao Lang

Fei Huang

Yongbin Li

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DialCLIP: Empowering Clip As Multi-Modal Dialog Retriever.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Iterative Forward Tuning Boosts In-Context Learning in Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SoFA: Shielded On-the-fly Alignment via Priority Rule Following.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

One-Shot Learning as Instruction Data Prospector for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Preference Ranking Optimization for Human Alignment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Schema dependency-enhanced curriculum pre-training for table semantic parsing.

[BibT_eX]

[DOI]

Knowl. Based Syst., February, 2023

Image stacks for full-body transcription factor expression atlas with completely resolved cell identities in C. elegans.

[BibT_eX]

[DOI]

Yongbin Li

Xiao Liu

Dataset, February, 2023

C. elegans image stacks at L1 stage with completely resolved cell identities.

[BibT_eX]

[DOI]

Yongbin Li

Xiao Liu

Dataset, February, 2023

One Shot Learning as Instruction Data Prospector for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Factual Consistency of Text Summarization by Adversarially Decoupling Comprehension and Embellishment Abilities of LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

Constructive Large Language Models Alignment with Diverse Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue.

[BibT_eX]

[DOI]

CoRR, 2023

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators.

[BibT_eX]

[DOI]

CoRR, 2023

SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue in Multiple Domains.

[BibT_eX]

[DOI]

CoRR, 2023

Iterative Forward Tuning Boosts In-context Learning in Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.

[BibT_eX]

[DOI]

Kevin Chen-Chuan Chang

Fei Huang

Reynold Cheng

Yongbin Li

CoRR, 2023

Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation.

[BibT_eX]

[DOI]

CoRR, 2023

API-Bank: A Benchmark for Tool-Augmented LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.

[BibT_eX]

[DOI]

Kevin Chen-Chuan Chang

Fei Huang

Reynold Cheng

Yongbin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Coarse-To-Fine Knowledge Selection for Document Grounded Dialogs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Causal Document-Grounded Dialogue Pre-training.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Question Generation with Multi-level Content Planning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Diversify Question Generation with Retrieval-Augmented Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Long-Tailed Question Answering in an Open World.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Domain Incremental Lifelong Learning in an Open World.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Universal Information Extraction with Meta-Pretrained Self-Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Unified Language Representation for Question Answering over Text, Tables, and Images.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Generalized Open Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-Supervised Lifelong Language Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.

[BibT_eX]

[DOI]

CoRR, 2022

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.

[BibT_eX]

[DOI]

CoRR, 2022

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue System.

[BibT_eX]

[DOI]

CoRR, 2022

S<sup>2</sup>SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers.

[BibT_eX]

[DOI]

CoRR, 2022

Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Semi-Supervised Lifelong Language Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Estimating Soft Labels for Out-of-Domain Intent Detection.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Generalizable and Robust Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

S²SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing.

[BibT_eX]

[DOI]

CoRR, 2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Text-to-SQL with Schema Dependency Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing.

[BibT_eX]

[DOI]

CoRR, 2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Survey on Dialog Management: Recent Advances and Challenges.

[BibT_eX]

[DOI]

CoRR, 2020

Dynamic Memory Induction Networks for Few-Shot Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Few-Shot Text Classification with Induction Network.

[BibT_eX]

[DOI]

CoRR, 2019

Induction Networks for Few-Shot Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Yongbin Li

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