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Latest staff publications > Displaying [1–20 of 203]

  • Yao, G., Tang, Y., Wu, H., Cao, J., Sui, Y., Song, D. and Ji, S., 2027, ‘U-RAG: Utility-aware Retrieval-Augmented Generation via marginal gain modeling’, Information Processing & Management, 64(2 Part B), https://oro.open.ac.uk/112304/.
  • Zhao, T., Meng, L. and Song, D., 2026, ‘MADSC: Aspect-aware description and calibrated alignment for unified Multimodal Aspect-Based Sentiment Analysis’, Pattern Recognition, 179, https://oro.open.ac.uk/109854/.
  • Sui, Y., Li, C. and Song, D., 2026, ‘Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning’, in The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), 02-07 Jul 2026, San Diego, California, USA., https://oro.open.ac.uk/109855/.
  • Meng, L., Zhao, T., Song, D., Cao, J. and Zuo, Y., 2026, ‘Beyond Polarity: Continuous Affect-Enhanced Multimodal Aspect-Based Sentiment Classification’, in The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), 02-07 Jul 2026, San Diego, California, USA., https://oro.open.ac.uk/109758/.
  • Sui, Y., Li, C., Zhang, L., Song, D. and Liu, H., 2026, ‘Decomposition, Think and Action: Alleviating Hallucinations of Large Language Models with Reasoning-Evidence Interactive Augmented Graph’, ACM Transactions on Information Systems (TOIS) (Early Access)., https://oro.open.ac.uk/110775/.
  • Zhang, C., Li, Q., Song, D., Ye, Z., Gao, Y. and Hu, Y., 2025, ‘Towards the Law of Capacity Gap in Distilling Language Models’, in The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), 27 Jul - 01 Aug 2025, Vienna, Austria., https://oro.open.ac.uk/104314/.
  • Sui, Y., Li, C., Zhang, C. and Song, D., 2025, ‘Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge’, in The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), 04-09 Nov 2025, Suzhou, China., https://oro.open.ac.uk/106219/.
  • Li, Z., Zhang, C. and Song, D., 2025, ‘Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions’, in WSDM '25: The Eighteenth ACM International Conference on Web Search and Data Mining, 10-14 Mar 2025, Hannover, Germany., https://oro.open.ac.uk/103951/.
  • Zhang, C., Li, Q., Song, D. and Tiwari, P., 2025, ‘Quantum-inspired semantic matching based on neural networks with the duality of density matrices’, Engineering Applications of Artificial Intelligence, 140, https://oro.open.ac.uk/101463/.
  • Zhang, C., Su, Z., Li, Q., Song, D. and Tiwari, P., 2025, ‘Quantum-inspired neural network with hierarchical entanglement embedding for matching’, Neural Networks, 182, https://oro.open.ac.uk/101462/.
  • Liu, Z., Zhang, C. and Song, D., 2024, ‘How Speculative Can Speculative Decoding Be? In: LREC-COLING 2024: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 20-25 May 2024, Turin, Italy’, https://oro.open.ac.uk/97102/.
  • Zhang, C., Lv, J., Cao, J., Sheng, J., Song, D. and Zhang, T., 2024, ‘SITH: Semantic Interpreter for Transformer Hierarchy’, in 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI), 28-30 Oct 2024, Herndon, VA, USA., https://oro.open.ac.uk/102663/.
  • Zhang, C., Hou, Y. and Song, D., 2024, ‘Label-Based Disentanglement Measure among Hidden Units of Deep Learning’, Neural Processing Letters, 56(6), https://oro.open.ac.uk/101551/.
  • Zhang, C., Yang, Y., Wang, Q., Liu, J., Wang, J., Wu, W. and Song, D., 2024, ‘Minimal Distillation Schedule for Extreme Language Model Compression’, in 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 17-22 Mar 2024, Malta., https://oro.open.ac.uk/95998/.
  • An, R., Zhang, C. and Song, D., 2024, ‘Eliminating Contextual Bias in Aspect-based Sentiment Analysis’, in The 46th European Conference on Information Retrieval (ECIR2024), 24-28 Mar 2024, Glasgow, UK., https://oro.open.ac.uk/95141/.
  • Liu, Y., Zhang, Y. and Song, D., 2024, ‘A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis’, IEEE Transactions on Affective Computing, 15(1), pp. 326–341., https://oro.open.ac.uk/89286/.
  • Liu, Y., Li, Q., Wang, B., Zhang, Y. and Song, D., 2023, ‘A Survey of Quantum-cognitively Inspired Sentiment Analysis Models’, ACM Computing Surveys, 56(1), pp. 1–37., https://oro.open.ac.uk/89815/.
  • Zhang, C., Cao, J., Yan, D., Song, D. and Lv, J., 2023, ‘Which Words Pillar the Semantic Expression of a Sentence? In: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), 6-8 Nov 2023, Atlanta, GA, USA’, https://oro.open.ac.uk/94521/.
  • Yang, Y., Zhang, C. and Song, D., 2022, ‘Sparse Teachers Can Be Dense with Knowledge’, in EMNLP2022: Conference on Empirical Methods in Natural Language Processing, 7-11 Dec 2022, Abu Dhabi., https://oro.open.ac.uk/87432/.
  • Zhang, H. and Song, D., 2022, ‘DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation’, in EMNLP2022: Conference on Empirical Methods in Natural Language Processing, 7-11 Dec 2022, Abu Dhabi., https://oro.open.ac.uk/87429/.