Applying Machine Learning Techniques to Improve User Acceptance on Ubiquitous Environment. - Djallel Bouneffouf 001 (CAiSE (Doctoral Consortium), 2011)

Following the User's Interests in Mobile Context-Aware Recommender Systems: The Hybrid-e-greedy Algorithm. - Djallel Bouneffouf 001; Amel Bouzeghoub; Alda Lopes Gançarski (AINA Workshops, 2012)

Exploration / Exploitation Trade-Off in Mobile Context-Aware Recommender Systems. - Djallel Bouneffouf 001; Amel Bouzeghoub; Alda Lopes Gançarski (Australasian Conference on Artificial Intelligence, 2012)

A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System. - Djallel Bouneffouf 001; Amel Bouzeghoub; Alda Lopes Gançarski (ICONIP (3), 2012)

Considering the High Level Critical Situations in Context-Aware Recommender Systems. - Djallel Bouneffouf 001; Amel Bouzeghoub; Alda Lopes Gançarski (IMMoA, 2012)

Hybrid-ε-greedy for Mobile Context-Aware Recommender System. - Djallel Bouneffouf 001; Amel Bouzeghoub; Alda Lopes Gançarski (PAKDD (1), 2012)

Risk-Aware Recommender Systems. - Djallel Bouneffouf 001; Amel Bouzeghoub; Alda Lopes Gançarski (ICONIP (1), 2013)

Contextual Bandits for Context-Based Information Retrieval. - Djallel Bouneffouf 001; Amel Bouzeghoub; Alda Lopes Gançarski (ICONIP (2), 2013)

Applying machine learning techniques to improve user acceptance on ubiquitous environement - Djallel Bouneffouf 001 (CoRR, 2013)

Situation-Aware Approach to Improve Context-based Recommender System - Djallel Bouneffouf 001 (CoRR, 2013)

Optimizing an Utility Function for Exploration / Exploitation Trade-off in Context-Aware Recommender System - Djallel Bouneffouf 001 (CoRR, 2013)

Improving adaptation of ubiquitous recommander systems by using reinforcement learning and collaborative filtering - Djallel Bouneffouf 001 (CoRR, 2013)

Proposition d'une technique de gestion de projet dans les startups - Djallel Bouneffouf 001 (CoRR, 2013)

Hybrid Q-Learning Applied to Ubiquitous recommender system - Djallel Bouneffouf 001 (CoRR, 2013)

The Impact of Situation Clustering in Contextual-Bandit Algorithm for Context-Aware Recommender Systems - Djallel Bouneffouf 001 (CoRR, 2013)

Towards User Profile Modelling in Recommender System - Djallel Bouneffouf 001 (CoRR, 2013)

Mobile Recommender Systems Methods: An Overview - Djallel Bouneffouf 001 (CoRR, 2013)

Evolution of the user's content: An Overview of the state of the art - Djallel Bouneffouf 001 (CoRR, 2013)

Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits - Djallel Bouneffouf 001 (CoRR, 2013)

DRARS, A Dynamic Risk-Aware Recommender System. - Djallel Bouneffouf 001 (2013)

A Neural Networks Committee for the Contextual Bandit Problem. - Robin Allesiardo; Raphaël Féraud; Djallel Bouneffouf 001 (ICONIP (1), 2014)

Freshness-Aware Thompson Sampling. - Djallel Bouneffouf 001 (ICONIP (3), 2014)

Contextual Bandit for Active Learning: Active Thompson Sampling. - Djallel Bouneffouf 001; Romain Laroche; Tanguy Urvoy; Raphaël Féraud; Robin Allesiardo (ICONIP (1), 2014)

Context-Based Information Retrieval in Risky Environment. - Djallel Bouneffouf 001 (Aust. J. Intell. Inf. Process. Syst., 2014)

Recommandation mobile, sensible au contexte de contenus évolutifs: Contextuel-E-Greedy. - Djallel Bouneffouf 001 (CoRR, 2014)

Étude des dimensions spécifiques du contexte dans un système de filtrage d'informations. - Djallel Bouneffouf 001 (CoRR, 2014)

R-UCB: a Contextual Bandit Algorithm for Risk-Aware Recommender Systems. - Djallel Bouneffouf 001 (CoRR, 2014)

Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering. - Djallel Bouneffouf 001; Inanç Birol (IJCAI, 2015)

Finite-time analysis of the multi-armed bandit problem with known trend. - Djallel Bouneffouf 001 (CEC, 2016)

Contextual bandit algorithm for risk-aware recommender systems. - Djallel Bouneffouf 001 (CEC, 2016)

Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. - Djallel Bouneffouf 001; Inanç Birol (IJCNN, 2016)

Theoretical analysis of the Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. - Djallel Bouneffouf 001; Inanç Birol (IJCNN, 2016)

Exponentiated Gradient Exploration for Active Learning. - Djallel Bouneffouf 001 (Comput., 2016)

Multi-armed bandit problem with known trend. - Djallel Bouneffouf 001; Raphaël Féraud (Neurocomputing, 2016)

Bandit Models of Human Behavior: Reward Processing in Mental Disorders. - Djallel Bouneffouf 001; Irina Rish; Guillermo A. Cecchi (AGI, 2017)

Context Attentive Bandits: Contextual Bandit with Restricted Context. - Djallel Bouneffouf 001; Irina Rish; Guillermo A. Cecchi; Raphaël Féraud (IJCAI, 2017)

Contextual Bandit with Adaptive Feature Extraction. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi; Irina Rish (ICDM Workshops, 2018)

Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. - Avinash Balakrishnan; Djallel Bouneffouf 001; Nicholas Mattei; Francesca Rossi 001 (IJCAI, 2018)

Eigenspectrum Shape Based Nyström Sampling. - Djallel Bouneffouf 001 (IJCNN, 2018)

Adaptive Representation Selection in Contextual Bandit with Unlabeled History. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Irina Rish (CoRR, 2018)

Beyond Backprop: Alternating Minimization with co-Activation Memory. - Anna Choromanska; Sadhana Kumaravel; Ronny Luss; Irina Rish; Brian Kingsbury; Ravi Tejwani; Djallel Bouneffouf 001 (CoRR, 2018)

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. - Ritesh Noothigattu; Djallel Bouneffouf 001; Nicholas Mattei; Rachita Chandra; Piyush Madan; Kush R. Varshney; Murray Campbell; Moninder Singh; Francesca Rossi 001 (CoRR, 2018)

Incorporating Behavioral Constraints in Online AI Systems. - Avinash Balakrishnan; Djallel Bouneffouf 001; Nicholas Mattei; Francesca Rossi 001 (AAAI, 2019)

Scalable Recollections for Continual Lifelong Learning. - Matthew Riemer; Tim Klinger; Djallel Bouneffouf 001; Michele Franceschini (AAAI, 2019)

Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. - Anna Choromanska; Benjamin Cowen; Sadhana Kumaravel; Ronny Luss; Mattia Rigotti; Irina Rish; Paolo Diachille; Viatcheslav Gurev; Brian Kingsbury; Ravi Tejwani; Djallel Bouneffouf 001 (ICML, 2019)

Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. - Djallel Bouneffouf 001; Srinivasan Parthasarathy 002; Horst Samulowitz; Martin Wistuba (IJCAI, 2019)

Split Q Learning: Reinforcement Learning with Two-Stream Rewards. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi (IJCAI, 2019)

A Survey on Practical Applications of Multi-Armed and Contextual Bandits. - Djallel Bouneffouf 001; Irina Rish (CoRR, 2019)

Automated Machine Learning via ADMM. - Sijia Liu 001; Parikshit Ram; Djallel Bouneffouf 001; Gregory Bramble; Andrew R. Conn; Horst Samulowitz; Alexander G. Gray (CoRR, 2019)

A Bandit Approach to Posterior Dialog Orchestration Under a Budget. - Sohini Upadhyay; Mayank Agarwal; Djallel Bouneffouf 001; Yasaman Khazaeni (CoRR, 2019)

Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Jenna M. Reinen; Irina Rish (CoRR, 2019)

How can AI Automate End-to-End Data Science? - Charu C. Aggarwal; Djallel Bouneffouf 001; Horst Samulowitz; Beat Buesser; Thanh Hoang; Udayan Khurana; Sijia Liu 001; Tejaswini Pedapati; Parikshit Ram; Ambrish Rawat; Martin Wistuba; Alexander G. Gray (CoRR, 2019)

Using multi-armed bandits to learn ethical priorities for online AI systems. - Avinash Balakrishnan; Djallel Bouneffouf 001; Nicholas Mattei; Francesca Rossi 001 (IBM J. Res. Dev., 2019)

Teaching AI agents ethical values using reinforcement learning and policy orchestration. - Ritesh Noothigattu; Djallel Bouneffouf 001; Nicholas Mattei; Rachita Chandra; Piyush Madan; Kush R. Varshney; Murray Campbell; Moninder Singh; Francesca Rossi 001 (IBM J. Res. Dev., 2019)

An ADMM Based Framework for AutoML Pipeline Configuration. - Sijia Liu 001; Parikshit Ram; Deepak Vijaykeerthy; Djallel Bouneffouf 001; Gregory Bramble; Horst Samulowitz; Dakuo Wang; Andrew Conn 001; Alexander G. Gray (AAAI, 2020)

Data Augmentation for Discrimination Prevention and Bias Disambiguation. - Shubham Sharma 002; Yunfeng Zhang; Jesús M. Ríos Aliaga; Djallel Bouneffouf 001; Vinod Muthusamy; Kush R. Varshney (AIES, 2020)

A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Jenna M. Reinen; Irina Rish (AAMAS, 2020)

Survey on Applications of Multi-Armed and Contextual Bandits. - Djallel Bouneffouf 001; Irina Rish; Charu C. Aggarwal (CEC, 2020)

Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Jenna M. Reinen; Irina Rish (HBAI@IJCAI, 2020)

Survey on Automated End-to-End Data Science? - Djallel Bouneffouf 001; Charu C. Aggarwal; Thanh Hoang; Udayan Khurana; Horst Samulowitz; Beat Buesser; Sijia Liu 001; Tejaswini Pedapati; Parikshit Ram; Ambrish Rawat; Martin Wistuba; Alexander G. Gray (IJCNN, 2020)

Hyper-parameter Tuning for the Contextual Bandit. - Djallel Bouneffouf 001; Emmanuelle Claeys (CoRR, 2020)

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Jenna M. Reinen; Irina Rish (CoRR, 2020)

Solving Constrained CASH Problems with ADMM. - Parikshit Ram; Sijia Liu 001; Deepak Vijaykeerthy; Dakuo Wang; Djallel Bouneffouf 001; Gregory Bramble; Horst Samulowitz; Alexander G. Gray (CoRR, 2020)

Online learning with Corrupted context: Corrupted Contextual Bandits. - Djallel Bouneffouf 001 (CoRR, 2020)

Contextual Bandit with Missing Rewards. - Djallel Bouneffouf 001; Sohini Upadhyay; Yasaman Khazaeni (CoRR, 2020)

Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling. - Djallel Bouneffouf 001 (CoRR, 2020)

Computing the Dirichlet-Multinomial Log-Likelihood Function. - Djallel Bouneffouf 001 (CoRR, 2020)

Learned Fine-Tuner for Incongruous Few-Shot Learning. - Pu Zhao 001; Sijia Liu 001; Parikshit Ram; Songtao Lu; Djallel Bouneffouf 001; Xue Lin 001 (CoRR, 2020)

Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi (CoRR, 2020)

Online Semi-Supervised Learning with Bandit Feedback. - Sohini Upadhyay; Mikhail Yurochkin; Mayank Agarwal; Yasaman Khazaeni; Djallel Bouneffouf 001 (CoRR, 2020)

Corrupted Contextual Bandits: Online Learning with Corrupted Context. - Djallel Bouneffouf 001 (ICASSP, 2021)

Online Hyper-Parameter Tuning for the Contextual Bandit. - Djallel Bouneffouf 001; Emmanuelle Claeys (ICASSP, 2021)

Toward Skills Dialog Orchestration with Online Learning. - Djallel Bouneffouf 001; Raphaël Féraud; Sohini Upadhyay; Mayank Agarwal; Yasaman Khazaeni; Irina Rish (ICASSP, 2021)

Double-Linear Thompson Sampling for Context-Attentive Bandits. - Djallel Bouneffouf 001; Raphaël Féraud; Sohini Upadhyay; Yasaman Khazaeni; Irina Rish (ICASSP, 2021)

Toward Optimal Solution for the Context-Attentive Bandit Problem. - Djallel Bouneffouf 001; Raphaël Féraud; Sohini Upadhyay; Irina Rish; Yasaman Khazaeni (IJCAI, 2021)

Etat de l'art sur l'application des bandits multi-bras. - Djallel Bouneffouf 001 (CoRR, 2021)

Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization. - Akihiro Kishimoto; Djallel Bouneffouf 001; Radu Marinescu 002; Parikshit Ram; Ambrish Rawat; Martin Wistuba; Paulito P. Palmes; Adi Botea (AAAI, 2022)

Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. - Baihan Lin; Djallel Bouneffouf 001 (FUZZ-IEEE, 2022)

Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. - Pu Zhao 001; Parikshit Ram; Songtao Lu; Yuguang Yao; Djallel Bouneffouf 001; Xue Lin 001; Sijia Liu 001 (IJCAI, 2022)

Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data. - Djallel Bouneffouf 001; Sohini Upadhyay; Yasaman Khazaeni (IJCNN, 2022)

Predicting Human Decision Making with LSTM. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi (IJCNN, 2022)

Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi (PRICAI (3), 2022)

Linearizing contextual bandits with latent state dynamics. - Elliot Nelson; Debarun Bhattacharjya; Tian Gao; Miao Liu 001; Djallel Bouneffouf 001; Pascal Poupart (UAI, 2022)

Reinforcement learning with algorithms from probabilistic structure estimation. - Jonathan P. Epperlein; Roman Overko; Sergiy Zhuk; Christopher K. King; Djallel Bouneffouf 001; Andrew Cullen; Robert Shorten (Autom., 2022)

Deep Annotation of Therapeutic Working Alliance in Psychotherapy. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (CoRR, 2022)

Neural Topic Modeling of Psychotherapy Sessions. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi; Ravi Tejwani (CoRR, 2022)

Targeted Advertising on Social Networks Using Online Variational Tensor Regression. - Tsuyoshi Idé; Keerthiram Murugesan; Djallel Bouneffouf 001; Naoki Abe (CoRR, 2022)

Survey on Applications of Neurosymbolic Artificial Intelligence. - Djallel Bouneffouf 001; Charu C. Aggarwal (CoRR, 2022)

Dynamic Bandits with an Auto-Regressive Temporal Structure. - Qinyi Chen; Negin Golrezaei; Djallel Bouneffouf 001 (CoRR, 2022)

Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. - Yeldar Toleubay; Don Joven Agravante; Daiki Kimura; Baihan Lin; Djallel Bouneffouf 001; Michiaki Tatsubori (ClinicalNLP@ACL, 2023)

Question Answering System with Sparse and Noisy Feedback. - Djallel Bouneffouf 001; Oznur Alkan; Raphaël Féraud; Baihan Lin (ICASSP, 2023)

Dialogue System with Missing Observation. - Djallel Bouneffouf 001; Mayank Agarwal; Irina Rish (ICASSP, 2023)

SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (IJCAI, 2023)

Helping Therapists with NLP-Annotated Recommendation 17-24. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (IUI Workshops, 2023)

Non-Stationary Bandits with Auto-Regressive Temporal Dependency. - Qinyi Chen; Negin Golrezaei; Djallel Bouneffouf 001 (NeurIPS, 2023)

Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (WWW (Companion Volume), 2023)

Robust Stochastic Multi-Armed Bandits with Historical Data. - Sarah Boufelja Yacobi; Djallel Bouneffouf 001 (WWW (Companion Volume), 2023)

A Survey on Compositional Generalization in Applications. - Baihan Lin; Djallel Bouneffouf 001; Irina Rish (CoRR, 2023)

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. - Baihan Lin; Stefan Zecevic; Djallel Bouneffouf 001; Guillermo A. Cecchi (CoRR, 2023)

Towards Healthy AI: Large Language Models Need Therapists Too. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi; Kush R. Varshney (CoRR, 2023)

Interpolating Item and User Fairness in Recommendation Systems. - Qinyi Chen; Jason Cheuk Nam Liang; Negin Golrezaei; Djallel Bouneffouf 001 (CoRR, 2023)

Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. - Aylin Gunal; Baihan Lin; Djallel Bouneffouf 001 (ClinicalNLP@NAACL, 2024)

Working Alliance Transformer for Psychotherapy Dialogue Classification. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (ClinicalNLP@NAACL, 2024)

ComVas: Contextual Moral Values Alignment System. - Inkit Padhi; Pierre L. Dognin; Jesus Rios; Ronny Luss; Swapnaja Achintalwar; Matthew Riemer; Miao Liu 001; Prasanna Sattigeri; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (IJCAI, 2024)

A Tutorial on Multi-Armed Bandit Applications for Large Language Models. - Djallel Bouneffouf 001; Raphaël Féraud (KDD, 2024)

Interpolating Item and User Fairness in Multi-Sided Recommendations. - Qinyi Chen; Jason Cheuk Nam Liang; Negin Golrezaei; Djallel Bouneffouf 001 (NeurIPS, 2024)

COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. - Baihan Lin; Djallel Bouneffouf 001; Yulia Landa; Rachel Jespersen; Cheryl Corcoran; Guillermo A. Cecchi (CoRR, 2024)

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. - Swapnaja Achintalwar; Adriana Alvarado Garcia; Ateret Anaby-Tavor; Ioana Baldini; Sara E. Berger; Bishwaranjan Bhattacharjee; Djallel Bouneffouf 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

Contextual Moral Value Alignment Through Context-Based Aggregation. - Pierre L. Dognin; Jesus Rios; Ronny Luss; Inkit Padhi; Matthew D. Riemer; Miao Liu 001; Prasanna Sattigeri; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (CoRR, 2024)

Assessing AI Rationality: The Random Guesser Test for Sequential Decision-Making Systems. - Shun Ide; Allison Blunt; Djallel Bouneffouf 001 (CoRR, 2024)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Pierre L. Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001 (CoRR, 2024)

Can Large Language Models Adapt to Other Agents In-Context? - Matthew Riemer; Zahra Ashktorab; Djallel Bouneffouf 001; Payel Das; Miao Liu 001; Justin D. Weisz; Murray Campbell (CoRR, 2024)

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. - Swapnaja Achintalwar; Ioana Baldini; Djallel Bouneffouf 001; Joan Byamugisha; Maria Chang 001; Pierre L. Dognin; Eitan Farchi; Ndivhuwo Makondo; Aleksandra Mojsilovic; Manish Nagireddy; Karthikeyan Natesan Ramamurthy; Inkit Padhi; et al. (IEEE Internet Comput., 2024)

Multi-Armed Bandit with Sparse and Noisy Feedback. - Djallel Bouneffouf 001; Raphaël Féraud; Baihan Lin (ICASSP Workshops, 2025)

Contextual Value Alignment. - Pierre Dognin; Jesus Rios; Ronny Luss; Prasanna Sattigeri; Miao Liu 001; Inkit Padhi; Matthew Riemer; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (ICASSP, 2025)

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts (short paper). - Baihan Lin; Stefan Zecevic; Djallel Bouneffouf 001; Guillermo A. Cecchi (IUI Workshops, 2025)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Kush R. Varshney; Eitan Farchi; Pierre Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001; Prasanna Sattigeri (NAACL (Long Papers), 2025)

Scopes of Alignment. - Kush R. Varshney; Zahra Ashktorab; Djallel Bouneffouf 001; Matthew Riemer; Justin D. Weisz (CoRR, 2025)

Agentic AI Needs a Systems Theory. - Erik Miehling; Karthikeyan Natesan Ramamurthy; Kush R. Varshney; Matthew Riemer; Djallel Bouneffouf 001; John T. Richards; Amit Dhurandhar; Elizabeth M. Daly; Michael Hind; Prasanna Sattigeri; Dennis Wei; Ambrish Rawat; et al. (CoRR, 2025)

Sequential uncertainty quantification with contextual tensors for social targeting. - Tsuyoshi Idé; Keerthiram Murugesan; Djallel Bouneffouf 001; Naoki Abe (Knowl. Inf. Syst., 2025)

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. - Mouad Abrini; Omri Abend; Dina M. Acklin; Henny Admoni; Gregor Aichinger; Nitay Alon; Zahra Ashktorab; Ashish Atreja; Moises Auron; Alexander Aufreiter; Raghav Awasthi; Soumya Banerjee; et al. (CoRR, 2025)

Multi-Armed Bandits Meet Large Language Models. - Djallel Bouneffouf 001; Raphaël Féraud (CoRR, 2025)

The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships? - Djallel Bouneffouf 001; Matthew Riemer; Kush R. Varshney (CoRR, 2025)