Lidong Bing
Orcid: 0000-0003-4565-6313Affiliations:
- Machine Intelligence Technology, DAMO Academy, Alibaba Group
- Tencent AI Lab, Shenzhen, China (former)
- Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA (former)
- Chinese University of Hong Kong, Hong Kong (former)
According to our database1,
Lidong Bing
authored at least 210 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks.
CoRR, 2024
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models.
CoRR, 2024
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
CoRR, 2024
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.
CoRR, 2024
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.
CoRR, 2024
Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions.
CoRR, 2024
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
CoRR, 2024
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.
CoRR, 2024
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging.
CoRR, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE Trans. Knowl. Data Eng., November, 2023
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models.
CoRR, 2023
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
CoRR, 2023
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
CoRR, 2023
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models.
CoRR, 2023
Unlocking Temporal Question Answering for Large Language Models Using Code Execution.
CoRR, 2023
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction.
CoRR, 2023
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.
CoRR, 2023
CoRR, 2023
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines.
CoRR, 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
CoRR, 2023
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective.
CoRR, 2022
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader.
CoRR, 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.
CoRR, 2022
Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction.
CoRR, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Harvest shopping advice: Neural Question Generation from multiple information sources in E-commerce.
Neurocomputing, 2021
CoRR, 2021
Proceedings of the Natural Language Processing and Chinese Computing, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Soc. Comput., 2020
CoRR, 2020
CoRR, 2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification.
CoRR, 2020
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization.
CoRR, 2020
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks.
ACM Trans. Inf. Syst., 2018
Knowl. Based Syst., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern.
Knowl. Based Syst., 2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the Workshop on New Frontiers in Summarization, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews.
ACM Trans. Internet Techn., 2016
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016
Proceedings of the Information Retrieval Technology, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context.
ACM Trans. Inf. Syst., 2015
Adaptive Concept Resolution for document representation and its applications in text mining.
Knowl. Based Syst., 2015
Supervised topic models with word order structure for document classification and retrieval learning.
Inf. Retr. J., 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 International Conference on Asian Language Processing, 2015
Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers.
Proceedings of the Advances in Information Retrieval, 2015
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Web page segmentation with structured prediction and its application in web page classification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014
2013
Robust detection of semi-structured web records using a DOM structure-knowledge-driven model.
ACM Trans. Web, 2013
Int. J. Comput. Linguistics Appl., 2013
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
Proceedings of the Information Retrieval Technology, 2012
2011
Normalizing web product attributes and discovering domain ontology with minimal effort.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011
Ontology enhancement and concept granularity learning: keeping yourself current and adaptive.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
Learning ontology resolution for document representation and its applications in text mining.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2008
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008
2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007