Ruirui Li

Affiliations:
  • Amazon, Sunnyvale, CA, USA
  • University of California, Los Angeles, USA (PhD 2019)


According to our database1, Ruirui Li authored at least 29 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR, 2024

IterAlign: Iterative Constitutional Alignment of Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Language Models as Semantic Indexers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Contrastive-mixup Learning for Improved Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Supervised Speaker Recognition Training using Human-Machine Dialogues.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Scaling Effect of Self-Supervised Speech Models.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Non-local convolutional neural networks (nlcnn) for speaker recognition.
CoRR, 2020

Few-Shot Learning for New User Recommendation in Location-based Social Networks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Automatic Speaker Recognition with Limited Data.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Automated Relational Meta-learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Learning from Sparse and Deficient Data and its Applications.
PhD thesis, 2019

Click Feedback-Aware Query Recommendation Using Adversarial Examples.
Proceedings of the World Wide Web Conference, 2019

CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2017
Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Towards customer trouble tickets resolution automation in large cellular services: demo.
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016

2015
REAFUM: Representative Approximate Frequent Subgraph Mining.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2013
A probabilistic approach to diversified query recommendation.
MSc thesis, 2013


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