Xin Li

According to our database, Xin Li authored at least 44 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss.

Zesen Cheng, Hang Zhang, Kehan Li, Sicong Leng, Zhiqiang Hu, Fei Wu, Deli Zhao, Xin Li, Lidong Bing

CoRR, 2024

The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio.

Sicong Leng, Yun Xing, Zesen Cheng, Yang Zhou, Hang Zhang, Xin Li, Deli Zhao, Shijian Lu, Chunyan Miao, Lidong Bing

CoRR, 2024

Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective.

Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing

CoRR, 2024

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.

Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing

CoRR, 2024

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Zesen Cheng, Sicong Leng, Hang Zhang, Yifei Xin, Xin Li, Guanzheng Chen, Yongxin Zhu, Wenqi Zhang, Ziyang Luo, Deli Zhao, Lidong Bing

CoRR, 2024

CLEX: Continuous Length Extrapolation for Large Language Models.

Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation.

Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing

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

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.

Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges.

Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam

IEEE Trans. Knowl. Data Eng., November, 2023

SeaLLMs - Large Language Models for Southeast Asia.

Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing

CoRR, 2023

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs.

Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam

CoRR, 2023

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader.

Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing

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.

Hang Zhang, Xin Li, Lidong Bing

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

Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning.

Sen Yang, Xin Li, Lidong Bing, Wai Lam

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

Enhancing Cross-lingual Prompting with Dual Prompt Augmentation.

Meng Zhou, Xin Li, Yue Jiang, Lidong Bing

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

mPMR: A Multilingual Pre-trained Machine Reader at Scale.

Weiwen Xu, Xin Li, Wai Lam, Lidong Bing

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks.

Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing

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

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.

Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing

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.

Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing

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.

Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao

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

2022

From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader.

Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si

CoRR, 2022

Enhancing Cross-lingual Prompting with Mask Token Augmentation.

Meng Zhou, Xin Li, Yue Jiang, Lidong Bing

CoRR, 2022

ConNER: Consistency Training for Cross-lingual Named Entity Recognition.

Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao

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

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples.

Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si

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

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation.

Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam

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

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER.

Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Knowledge Based Multilingual Language Model.

Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si

CoRR, 2021

MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER.

Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao

CoRR, 2021

Aspect-based Sentiment Analysis in Question Answering Forums.

Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Aspect Sentiment Quad Prediction as Paraphrase Generation.

Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multilingual AMR Parsing with Noisy Knowledge Distillation.

Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Towards Generative Aspect-Based Sentiment Analysis.

Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam

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

2020

Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond.

Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam

CoRR, 2020

Enhancing Dialogue Generation via Multi-Level Contrastive Learning.

Xin Li, Piji Li, Yan Wang, Xiaojiang Liu, Wai Lam

CoRR, 2020

Relevance-Promoting Language Model for Short-Text Conversation.

Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.

Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang

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

Context-Aware Helpfulness Prediction for Online Product Reviews.

Iyiola E. Olatunji, Xin Li, Wai Lam

Proceedings of the Information Retrieval Technology, 2019

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis.

Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification.

Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction.

Xin Li, Lidong Bing, Piji Li, Wai Lam

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification.

Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang

CoRR, 2018

Aspect Term Extraction with History Attention and Selective Transformation.

Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Transformation Networks for Target-Oriented Sentiment Classification.

Xin Li, Lidong Bing, Wai Lam, Bei Shi

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction.

Xin Li, Wai Lam

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017