Chunyang Xiao

Orcid: 0009-0009-0127-2212

According to our database1, Chunyang Xiao authored at least 21 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence.
CoRR, May, 2026

MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration.
CoRR, April, 2026

Industry-Aligned Granular Topic Modeling.
CoRR, January, 2026

2025
Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors.
CoRR, October, 2025

Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration.
CoRR, January, 2025

Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Interference Mitigation in Multi-Cell ISAC Systems: A Three-Dimensional MIMO Precoding Approach.
IEEE Commun. Lett., November, 2024

More Effective LLM Compressed Tokens with Uniformly Spread Position Identifiers and Compression Loss.
CoRR, 2024

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Translate-and-Revise: Boosting Large Language Models for Constrained Translation.
Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024

2023
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations.
CoRR, 2023

A Two-Layer Precoding Approach for the Integrated Sensing and Communication in Downlink MIMO Systems.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

2021
A call for better unit testing for invariant risk minimisation.
CoRR, 2021

2019
Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing.
CoRR, 2019

2017
Neural-Symbolic Learning for Semantic Parsing. (Analyse sémantique avec apprentissage neuro-symbolique).
PhD thesis, 2017

Symbolic Priors for RNN-based Semantic Parsing.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Log-Linear RNNs: Towards Recurrent Neural Networks with Flexible Prior Knowledge.
CoRR, 2016

Orthogonality regularizer for question answering.
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016

Sequence-based Structured Prediction for Semantic Parsing.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Move from Perturbed scheme to exponential weighting average.
CoRR, 2015

Reversibility reconsidered: finite-state factors for efficient probabilistic sampling in parsing and generation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015


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