Siyin Wang

According to our database1, Siyin Wang authored at least 25 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning.
CoRR, June, 2025

World-aware Planning Narratives Enhance Large Vision-Language Model Planner.
CoRR, June, 2025

SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation.
CoRR, May, 2025

ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning.
CoRR, May, 2025

Intraoperative stenosis detection in X-ray coronary angiography via temporal fusion and attention-based CNN.
Comput. Medical Imaging Graph., 2025

Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enabling Auditory Large Language Models for Automatic Speech Quality Evaluation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation.
CoRR, 2024

Enabling Auditory Large Language Models for Automatic Speech Quality Evaluation.
CoRR, 2024

Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization.
CoRR, 2024

Cross-Modality Safety Alignment.
CoRR, 2024

In-Memory Learning: A Declarative Learning Framework for Large Language Models.
CoRR, 2024

Speaker Diarization for Unlimited Number of Speakers Using Dynamic Linear.
Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024

A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2024

Can Whisper Perform Speech-Based In-Context Learning?
Proceedings of the IEEE International Conference on Acoustics, 2024

Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LLM can Achieve Self-Regulation via Hyperparameter Aware Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis.
CoRR, 2023

Evaluating Hallucinations in Chinese Large Language Models.
CoRR, 2023

2022
Causal Intervention Improves Implicit Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


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