Chi, Ed H.
- The Case for Learned Index Structures
2017/12/04 by Tim Kraska, Kraska, Tim, Alex Beutel +7 · 10 voices · 36 citations
#cs.DB #cs.DS #cs.NE
- Emergent Abilities of Large Language Models
2022/06/15 by Jason Wei, Yi Tay, Wei, Jason +30 · 17 voices · 387 citations
Computer Science · #Topic Modeling #Machine Learning and Data Classification #Machine Learning and Algorithms
- Scaling Instruction-Finetuned Language Models
2022/10/20 by Hyung Won Chung, Le Hou, Chung, Hyung Won +72 · 1 voice · 366 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL #cs.LG
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
2022/10/17 by Mirac Süzgün, Suzgun, Mirac, Nathan Scales +18 · 375 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
- Self-Discover: Large Language Models Self-Compose Reasoning Structures
2024/02/06 by Pei Zhou, Zhou, Pei, Jay Pujara +19 · 4 voices · 30 citations
Computer Science · #Topic Modeling #cs.AI #cs.CL
- Recommender Systems with Generative Retrieval
2023/05/08 by Shashank Rajput, Rajput, Shashank, Nikhil Mehta +25 · 1 voice · 81 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling #cs.IR #cs.LG
- Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
2023/10/09 by Huaixiu Zheng, Swaroop Mishra, Zheng, Huaixiu Steven +11 · 2 voices · 39 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- Large Language Models as Analogical Reasoners
2023/10/03 by Michihiro Yasunaga, Xinyun Chen, Yasunaga, Michihiro +14 · 2 voices · 33 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling
- Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
2017/07/01 by Alex Beutel, Beutel, Alex, Jilin Chen +4 · 36 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
2023/06/13 by Anima Singh, Trung Nghia Vu, Singh, Anima +24 · 1 voice · 25 citations
Computer Science · #Recommender Systems and Techniques #Text and Document Classification Technologies #Topic Modeling
- Leveraging LLM Reasoning Enhances Personalized Recommender Systems
2024/07/22 by Alicia Y. Tsai, Adam Kraft, Tsai, Alicia Y. +18 · 1 voice · 15 citations
Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.IR #cs.LG
- How to Train Data-Efficient LLMs
2024/02/15 by Noveen Sachdeva, Benjamin Coleman, Sachdeva, Noveen +16 · 2 voices · 24 citations
Computer Science · #cs.LG #cs.AI #cs.CL
- AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
2019/02/26 by Bo Chang, Minmin Chen, Chang, Bo +5 · 17 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks #Neural Networks and Applications
- Fairness in Recommendation Ranking through Pairwise Comparisons
2019/03/02 by Beutel, Alex, Chen, Jilin, Doshi, Tulsee +8 · 16 citations
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
2024/06/06 by Huaixiu Zheng, Zheng, Huaixiu Steven, Swaroop Mishra +19 · 38 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
- Fairness without Demographics through Adversarially Reweighted Learning
2020/06/23 by Preethi Lahoti, Alex Beutel, Lahoti, Preethi +13 · 17 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Counterfactual Fairness in Text Classification through Robustness
2018/09/27 by Garg, Sahaj, Perot, Vincent, Limtiaco, Nicole +3 · 12 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Understanding and Improving Knowledge Distillation
2020/02/10 by Tang, Jiaxi, Shivanna, Rakesh, Zhao, Zhe +4 · 10 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
2021/06/07 by Hussein Hazimeh, Zhe Zhao, Hazimeh, Hussein +13 · 10 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Recommender Systems and Techniques #Multimodal Machine Learning Applications
- A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation
2020/10/29 by Yin Zhang⋆, Zhang, Yin, Derek Zhiyuan Cheng +9 · 9 citations
Computer Science · Medicine · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Radiomics and Machine Learning in Medical Imaging #Recommender Systems and Techniques #Topic Modeling
- Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
2019/01/14 by Alex Beutel, Beutel, Alex, Jilin Chen +15 · 7 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning to Embed Categorical Features without Embedding Tables for Recommendation
2020/10/21 by Kang, Wang-Cheng, Cheng, Derek Zhiyuan, Yao, Tiansheng +4 · 7 citations
#FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
- Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
2023/11/10 by Huan Gui, Gui, Huan, Ruoxi Wang +13 · 10 citations
Computer Science · #Recommender Systems and Techniques #Topic Modeling #Advanced Graph Neural Networks
- HyperPrompt: Prompt-based Task-Conditioning of Transformers
2022/03/01 by Yun He, He, Yun, Huaixiu Zheng +21 · 7 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Large Language Models for User Interest Journeys
2023/05/24 by Konstantina Christakopoulou, Christakopoulou, Konstantina, Alberto Lalama +23 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
2020/02/20 by Wang-Cheng Kang, Derek Zhiyuan Cheng, Kang, Wang-Cheng +11 · 5 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
- Improving Multi-Task Generalization via Regularizing Spurious Correlation
2022/05/19 by Hu, Ziniu, Zhao, Zhe, Yi, Xinyang +4 · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Aligning Large Language Models with Recommendation Knowledge
2024/03/30 by Yuwei Cao, Cao, Yuwei, Nikhil Mehta +13 · 7 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
2024/10/08 by Allen Nie, Yi Su, Nie, Allen +13 · 1 voice · 8 citations
Computer Science · Engineering · #Distributed and Parallel Computing Systems #Reservoir Engineering and Simulation Methods #cs.AI #cs.CL #cs.LG
- Toward a better trade-off between performance and fairness with kernel-based distribution matching
2019/10/25 by Flavien Prost, Hai Qian, Prost, Flavien +9 · 3 citations
Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
2022/10/25 by Yin Zhang⋆, Ruoxi Wang, Zhang, Yin +13 · 4 citations
Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Machine Learning and ELM
- Measuring Recommender System Effects with Simulated Users
2021/01/12 by Sirui Yao, Yoni Halpern, Yao, Sirui +15 · 3 citations
Computer Science · Decision Sciences · Business, Management and Accounting · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research #Consumer Market Behavior and Pricing
- ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
2025/02/19 by Yupeng Hou, Hou, Yupeng, Jianmo Ni +13 · 10 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
- Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs
2019/01/25 by Gilboa, Dar, Chang, Bo, Chen, Minmin +4 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Transfer of Machine Learning Fairness across Domains
2019/06/24 by Schumann, Candice, Wang, Xuezhi, Beutel, Alex +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving Calibration through the Relationship with Adversarial Robustness
2020/06/29 by Yao Qin, Xuezhi Wang, Qin, Yao +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel
2023/02/22 by Yao Qin, Qin, Yao, Xuezhi Wang +7 · 3 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations
2023/06/02 by Pan Li, Li, Pan, Yuyan Wang +5 · 3 citations
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Web Data Mining and Analysis
- Online Matching: A Real-time Bandit System for Large-scale Recommendations
2023/07/29 by Xinyang Yi, Shao-Chuan Wang, Yi, Xinyang +15 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques
- Learning to Augment for Casual User Recommendation
2022/04/02 by Jianling Wang, Ya Le, Wang, Jianling +9 · 2 citations
Computer Science · Psychology · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Mental Health via Writing #Recommender Systems and Techniques
- Reward Shaping for User Satisfaction in a REINFORCE Recommender
2022/09/30 by Konstantina Christakopoulou, Can Xu, Christakopoulou, Konstantina +23 · 2 citations
Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Behavioral Health and Interventions #Emotion and Mood Recognition #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
- Who is Authoritative? Understanding Reputation Mechanisms in Quora
2012/04/17 by Sharoda A. Paul, Lichan Hong, Paul, Sharoda A. +3 · 1 citation
Computer Science · Social Sciences · #Expert finding and Q&A systems #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Knowledge Management and Sharing #Mobile Crowdsensing and Crowdsourcing #Social and Information Networks (cs.SI)
- HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
2023/05/27 by Kaize Ding, Ding, Kaize, Albert Jiongqian Liang +15 · 2 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Text and Document Classification Technologies #Topic Modeling
- Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
2025/11/25 by Tianxin Wei, Noveen Sachdeva, Wei, Tianxin +27 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Multimodal Machine Learning Applications #Topic Modeling
- STAR: A Simple Training-free Approach for Recommendations using Large Language Models
2024/10/21 by Dong‐Ho Lee, Lee, Dong-Ho, Long Jin +12 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
- Learned Indexes for a Google-scale Disk-based Database
2020/12/23 by Abu-Libdeh, Hussam, Altınbüken, Deniz, Beutel, Alex +7 · 1 citation
#Databases (cs.DB) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
2025/04/07 by Wang, Jianling, Liu, Yifan, Sun, Yinghao +11 · 4 citations
#FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems
2023/06/02 by Pan Li, Yuyan Wang, Li, Pan +5 · 1 citation
Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research #Sentiment Analysis and Opinion Mining
- LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
2024/02/07 by Yuji Roh, Qingyun Liu, Roh, Yuji +19 · 1 citation
Computer Science · Engineering · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG)