Ang Lv

Orcid: 0000-0002-8027-2270

According to our database1, Ang Lv authored at least 27 papers between 2022 and 2025.

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

2025
StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason.
CoRR, July, 2025

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason.
CoRR, May, 2025

Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games.
CoRR, May, 2025

PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding Acceleration.
CoRR, February, 2025

Autonomy-of-Experts Models.
CoRR, January, 2025

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
CoRR, January, 2025

<i>PEAR: </i> <i>Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead</i>.
Proceedings of the ACM on Web Conference 2025, 2025

Language Models "Grok" to Copy.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
More Expressive Attention with Negative Weights.
CoRR, 2024

PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead.
CoRR, 2024

Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules.
CoRR, 2024

Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models.
CoRR, 2024

Mixture of In-Context Experts Enhance LLMs' Long Context Awareness.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

An Analysis and Mitigation of the Reversal Curse.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Are We Falling in a Middle-Intelligence Trap? An Analysis and Mitigation of the Reversal Curse.
CoRR, 2023

GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework.
CoRR, 2023

Outage Probability Analysis of RIS-Assisted Relay Transmission Systems.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Target-Side Input Augmentation for Sequence to Sequence Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022


  Loading...