Giving Advice to People in Path Selection Problems. - Amos Azaria; Zinovi Rabinovich; Sarit Kraus; Claudia V. Goldman (Interactive Decision Theory and Game Theory, 2011)

Automated Strategies for Determining Rewards for Human Work. - Amos Azaria; Yonatan Aumann; Sarit Kraus (AAAI, 2012)

Strategic Advice Provision in Repeated Human-Agent Interactions. - Amos Azaria; Zinovi Rabinovich; Sarit Kraus; Claudia V. Goldman; Ya'akov Gal (AAAI, 2012)

Strategic Advice Provision in Repeated Human-Agent Interactions (Abstract). - Amos Azaria; Zinovi Rabinovich; Sarit Kraus; Claudia V. Goldman; Ya'akov Gal (AAAI, 2012)

Giving advice to people in path selection problems. - Amos Azaria; Zinovi Rabinovich; Sarit Kraus; Claudia V. Goldman; Omer Tsimhoni (AAMAS, 2012)

Combining psychological models with machine learning to better predict people's decisions. - Avi Rosenfeld; Inon Zuckerman; Amos Azaria; Sarit Kraus (Synth., 2012)

Movie Recommender System for Profit Maximization (Short LBP). - Amos Azaria; Avinatan Hassidim; Sarit Kraus; Adi Eshkol; Ofer Weintraub; Irit Netanely (AAAI (Late-Breaking Developments), 2013)

Advice Provision in Multiple Prospect Selection Problems. - Amos Azaria; Sarit Kraus (AAAI, 2013)

Social Rankings in Human-Computer Committees. - Moshe Bitan; Ya'akov Gal; Sarit Kraus; Elad Dokow; Amos Azaria (AAAI, 2013)

Analyzing the Effectiveness of Adversary Modeling in Security Games. - Thanh Hong Nguyen; Rong Yang 001; Amos Azaria; Sarit Kraus; Milind Tambe (AAAI, 2013)

Modeling human adversary decision making in security games: an initial report. - Thanh Hong Nguyen; James Pita; Rajiv T. Maheswaran; Milind Tambe; Amos Azaria; Sarit Kraus (AAMAS, 2013)

Movie recommender system for profit maximization. - Amos Azaria; Avinatan Hassidim; Sarit Kraus; Adi Eshkol; Ofer Weintraub; Irit Netanely (RecSys, 2013)

A system for advice provision in multiple prospectselection problems. - Amos Azaria; Sarit Kraus; Ariella Richardson (RecSys, 2013)

Advice Provision for Choice Selection Processes with Ranked Options. - Amos Azaria; Ya'akov Gal; Claudia V. Goldman; Sarit Kraus (AAAI, 2014)

Advice Provision for Energy Saving in Automobile Climate Control Systems. - Amos Azaria; Sarit Kraus; Claudia V. Goldman; Omer Tsimhoni (AAAI, 2014)

Leveraging Fee-Based, Imperfect Advisors in Human-Agent Games of Trust. - Cody Buntain; Amos Azaria; Sarit Kraus (AAAI, 2014)

Automated agents' behavior in the trust-revenge game incomparison to other cultures. - Amos Azaria; Ariella Richardson; Avshalom Elmalech; Avi Rosenfeld (AAMAS, 2014)

An agent for the prospect presentation problem. - Amos Azaria; Ariella Richardson; Sarit Kraus (AAMAS, 2014)

An agent for deception detection in discussion basedenvironments. - Amos Azaria; Ariella Richardson; Sarit Kraus (AAMAS, 2014)

Automated agents for reward determination for human work in crowdsourcing applications. - Amos Azaria; Yonatan Aumann; Sarit Kraus (Auton. Agents Multi Agent Syst., 2014)

Behavioral Analysis of Insider Threat: A Survey and Bootstrapped Prediction in Imbalanced Data. - Amos Azaria; Ariella Richardson; Sarit Kraus; V. S. Subrahmanian (IEEE Trans. Comput. Soc. Syst., 2014)

Strategic Information Disclosure to People with Multiple Alternatives. - Amos Azaria; Zinovi Rabinovich; Claudia V. Goldman; Sarit Kraus (ACM Trans. Intell. Syst. Technol., 2014)

Adaptive Advice in Automobile Climate Control Systems. - Ariel Rosenfeld; Amos Azaria; Sarit Kraus; Claudia V. Goldman; Omer Tsimhoni (AAAI Workshop: AI for Transportation, 2015)

A Game for Studying Maintenance Alerts' Effectiveness. - Avraham Shvartzon; Amos Azaria; Sarit Kraus; Claudia V. Goldman; Omer Tsimhoni; Joachim Meyer 002 (AAMAS, 2015)

An Agent for Deception Detection in Discussion Based Environments. - Amos Azaria; Ariella Richardson; Sarit Kraus (CSCW, 2015)

Intelligent Agent Supporting Human-Multi-Robot Team Collaboration. - Ariel Rosenfeld; Noa Agmon; Oleg Maksimov; Amos Azaria; Sarit Kraus (IJCAI, 2015)

Advice Provision for Energy Saving in Automobile Climate-Control System. - Amos Azaria; Ariel Rosenfeld; Sarit Kraus; Claudia V. Goldman; Omer Tsimhoni (AI Mag., 2015)

Instructable Intelligent Personal Agent. - Amos Azaria; Jayant Krishnamurthy; Tom M. Mitchell (AAAI, 2016)

Personalized Alert Agent for Optimal User Performance. - Avraham Shvartzon; Amos Azaria; Sarit Kraus; Claudia V. Goldman; Joachim Meyer 002; Omer Tsimhoni (AAAI, 2016)

InstructableCrowd: Creating IF-THEN Rules via Conversations with the Crowd. - Ting-Hao (Kenneth) Huang; Amos Azaria; Jeffrey P. Bigham (CHI Extended Abstracts, 2016)

"Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent. - Ting-Hao Kenneth Huang; Walter S. Lasecki; Amos Azaria; Jeffrey P. Bigham (HCOMP, 2016)

Recommender Systems with Personality. - Amos Azaria; Jason I. Hong (RecSys, 2016)

Strategic advice provision in repeated human-agent interactions. - Amos Azaria; Ya'akov Gal; Sarit Kraus; Claudia V. Goldman (Auton. Agents Multi Agent Syst., 2016)

Autonomous agents and human cultures in the trust-revenge game. - Amos Azaria; Ariella Richardson; Avi Rosenfeld (Auton. Agents Multi Agent Syst., 2016)

The DARPA Twitter Bot Challenge. - V. S. Subrahmanian; Amos Azaria; Skylar Durst; Vadim Kagan; Aram Galstyan; Kristina Lerman; Linhong Zhu; Emilio Ferrara; Alessandro Flammini; Filippo Menczer (Computer, 2016)

The DARPA Twitter Bot Challenge. - V. S. Subrahmanian; Amos Azaria; Skylar Durst; Vadim Kagan; Aram Galstyan; Kristina Lerman; Linhong Zhu; Emilio Ferrara; Alessandro Flammini; Filippo Menczer; Rand Waltzman; Andrew Stevens; et al. (CoRR, 2016)

SUGILITE: Creating Multimodal Smartphone Automation by Demonstration. - Toby Jia-Jun Li; Amos Azaria; Brad A. Myers (CHI, 2017)

Parsing Natural Language Conversations using Contextual Cues. - Shashank Srivastava; Amos Azaria; Tom M. Mitchell (IJCAI, 2017)

An entity graph based Recommender System. - Sneha Chaudhari; Amos Azaria; Tom M. Mitchell (AI Commun., 2017)

Distributed Matching with Mixed Maximum-Minimum Utilities. - Amos Azaria; David Sarne; Yonatan Aumann (ACM Trans. Economics and Comput., 2017)

"Did I Say Something Wrong?": Towards a Safe Collaborative Chatbot. - Merav Chkroun; Amos Azaria (AAAI, 2018)

Safebot: A Safe Collaborative Chatbot. - Merav Chkroun; Amos Azaria (AAAI Workshops, 2018)

Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds. - Igor Labutov; Bishan Yang; Anusha Prakash 002; Amos Azaria (ACL (1), 2018)

Goldbach's Function Approximation Using Deep Learning. - Avigail Stekel; Merav Chkroun; Amos Azaria (WI, 2018)

Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents. - Toby Jia-Jun Li; Igor Labutov; Brad A. Myers; Amos Azaria; Alexander I. Rudnicky; Tom M. Mitchell (Studies in Conversational UX Design, 2018)

The Multimodal Correction Detection Problem. - Amos Azaria; Keren Nivasch (AAMAS, 2019)

Detecting Sentences that May be Harmful to Children with Special Needs. - Merav Allouch; Amos Azaria; Rina Azoulay (ICTAI, 2019)

Semi-Supervised Ovulation Detection Based on Multiple Properties. - Amos Azaria; Seagal Azaria (ICTAI, 2019)

Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge. - Gabriel Hartmann; Zvi Shiller; Amos Azaria (ICTAI, 2019)

The Concept of Criticality in Reinforcement Learning. - Yitzhak Spielberg; Amos Azaria (ICTAI, 2019)

Fair Sharing: The Shapley Value for Ride-Sharing and Routing Games. - Chaya Levinger; Noam Hazon; Amos Azaria (CoRR, 2019)

Learning to Conceal: A Deep Learning Based Method for Preserving Privacy and Avoiding Prejudice. - Moshe Hanukoglu; Nissan Goldberg; Aviv Rovshitz; Amos Azaria (CoRR, 2019)

InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd. - Ting-Hao K. Huang; Amos Azaria; Oscar J. Romero; Jeffrey P. Bigham (Hum. Comput., 2019)

LIA: A Virtual Assistant that Can Be Taught New Commands by Speech. - Merav Chkroun; Amos Azaria (Int. J. Hum. Comput. Interact., 2019)

AI for Explaining Decisions in Multi-Agent Environments. - Sarit Kraus; Amos Azaria; Jelena Fiosina; Maike Greve; Noam Hazon; Lutz M. Kolbe; Tim-Benjamin Lembcke; Jörg P. Müller; Sören Schleibaum; Mark Vollrath (AAAI, 2020)

Computing the Shapley Value for Ride-Sharing and Routing Games. - Chaya Levinger; Noam Hazon; Amos Azaria (AAMAS, 2020)

Viral vs. Effective: Utility Based Influence Maximization. - Yael Sabato; Amos Azaria; Noam Hazon (AAMAS, 2020)

Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling. - Yuri Safovich; Amos Azaria (ICTAI, 2020)

Learning to Conceal: A Method for Preserving Privacy and Avoiding Prejudice in Images. - Avigail Stekel; Moshe Hanukoglu; Aviv Rovshitz; Nissan Goldberg; Amos Azaria (ICTAI, 2020)

How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments. - Sören Schleibaum; Maike Greve; Tim-Benjamin Lembcke; Amos Azaria; Jelena Fiosina; Noam Hazon; Lutz M. Kolbe; Sarit Kraus; Jörg P. Müller; Mark Vollrath (VEHITS, 2020)

Multilingual Deception Detection by Autonomous Agents. - Evgeny Hershkovitch Neiterman; Moshe Bitan; Amos Azaria (WWW (Companion Volume), 2020)

An agent for learning new natural language commands. - Amos Azaria; Shashank Srivastava; Jayant Krishnamurthy; Igor Labutov; Tom M. Mitchell (Auton. Agents Multi Agent Syst., 2020)

Human satisfaction as the ultimate goal in ridesharing. - Chaya Levinger; Noam Hazon; Amos Azaria (Future Gener. Comput. Syst., 2020)

Model-Based Reinforcement Learning for Time-Optimal Velocity Control. - Gabriel Hartmann; Zvi Shiller; Amos Azaria (IEEE Robotics Autom. Lett., 2020)

SAIF: A Correction-Detection Deep-Learning Architecture for Personal Assistants. - Amos Azaria; Keren Nivasch (Sensors, 2020)

Conversational Neuro-Symbolic Commonsense Reasoning. - Forough Arabshahi; Jennifer Lee; Mikayla Gawarecki; Kathryn Mazaitis; Amos Azaria; Tom M. Mitchell (AAAI, 2021)

Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract). - Keren Nivasch; Dana Shapira; Amos Azaria (AAAI, 2021)

Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction. - David Zar; Noam Hazon; Amos Azaria (EUMAS, 2021)

A Deep Genetic Method for Keyboard Layout Optimization. - Keren Nivasch; Amos Azaria (ICTAI, 2021)

Autonomous Agents for The Single Track Road Problem. - Ido Shapira; Amos Azaria (ICTAI, 2021)

Revelation of Task Difficulty in Al-aided Education. - Yitzhak Spielberg; Amos Azaria (ICTAI, 2021)

An Agent for Competing with Humans in a Deceptive Game Based on Vocal Cues. - Noa Mansbach; Evgeny Hershkovitch Neiterman; Amos Azaria (Interspeech, 2021)

Efficient Computation and Estimation of the Shapley Value for Traveling Salesman Games. - Chaya Levinger; Noam Hazon; Amos Azaria (IEEE Access, 2021)

Autonomous Head-to-Head Racing in the Indy Autonomous Challenge Simulation Race. - Gabriel Hartmann; Zvi Shiller; Amos Azaria (CoRR, 2021)

A Socially Aware Reinforcement Learning Agent for The Single Track Road Problem. - Ido Shapira; Amos Azaria (CoRR, 2021)

Criticality-based Varying Step-number Algorithm for Reinforcement Learning. - Yitzhak Spielberg; Amos Azaria (Int. J. Artif. Intell. Tools, 2021)

Conversational Agents: Goals, Technologies, Vision and Challenges. - Merav Allouch; Amos Azaria; Rina Azoulay (Sensors, 2021)

A Safe Collaborative Chatbot for Smart Home Assistants. - Merav Chkroun; Amos Azaria (Sensors, 2021)

Vision-Less Sensing for Autonomous Micro-Drones. - Simon Pikalov; Elisha Azaria; Shaya Sonnenberg; Boaz Ben-Moshe; Amos Azaria (Sensors, 2021)

Social Aware Assignment of Passengers in Ridesharing (Student Abstract). - Chaya Levinger; Noam Hazon; Amos Azaria (AAAI, 2022)

Explainable Shapley-Based Allocation (Student Abstract). - Meir Nizri; Noam Hazon; Amos Azaria (AAAI, 2022)

Criticality-Based Advice in Reinforcement Learning (Student Abstract). - Yitzhak Spielberg; Amos Azaria (AAAI, 2022)

Improving the Perception of Fairness in Shapley-Based Allocations. - Meir Nizri; Amos Azaria; Noam Hazon (CogSci, 2022)

Reinforcement Learning Agents for Interacting with Humans. - Ido Shapira; Amos Azaria (CogSci, 2022)

Criticality-Based Advice in Reinforcement Learning. - Yitzhak Spielberg; Amos Azaria (CogSci, 2022)

Using Physiological Metrics to Improve Reinforcement Learning for Autonomous Vehicles. - Michael Fleicher; Oren Musicant; Amos Azaria (ICTAI, 2022)

Irrational, but Adaptive and Goal Oriented: Humans Interacting with Autonomous Agents. - Amos Azaria (IJCAI, 2022)

Competitive Driving of Autonomous Vehicles. - Gabriel Hartmann; Zvi Shiller; Amos Azaria (IEEE Access, 2022)

The Concept of Criticality in AI Safety. - Yitzhak Spielberg; Amos Azaria (CoRR, 2022)

Revelation of Task Difficulty in AI-aided Education. - Yitzhak Spielberg; Amos Azaria (CoRR, 2022)

Meta-Reinforcement Learning Using Model Parameters. - Gabriel Hartmann; Amos Azaria (CoRR, 2022)

Deep Learning Architectures for Approximating Goldbach's Function in New Regions. - Avigail Stekel; Amos Azaria (IEEE Intell. Syst., 2022)

Word Sense Induction with Attentive Context Clustering. - Moshe Stekel; Amos Azaria; Shai Gordin (J. Data Min. Digit. Humanit., 2022)

Satisfaction from shared rides. - David Zar; Noam Hazon; Amos Azaria (IEEE DataPort, 2022)

Social Aware Coalition Formation with Bounded Coalition Size. - Chaya Levinger; Amos Azaria; Noam Hazon (AAMAS, 2023)

ChatGPT: More Human-Like Than Computer-Like, but Not Necessarily in a Good Way. - Amos Azaria (CogSci, 2023)

Contrastive Explanations for Recommendation Systems. - Meir Nizri; Amos Azaria; Noam Hazon (CogSci, 2023)

Evidence From Computational Linguistics for the Concept of Biconsonantal Etymons in Hebrew. - Avigail Stekel; Moshe Stekel; Amos Azaria (CogSci, 2023)

The Internal State of an LLM Knows When It's Lying. - Amos Azaria; Tom M. Mitchell (EMNLP (Findings), 2023)

Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. - Yue Wu 001; Yewen Fan; Paul Pu Liang; Amos Azaria; Yuanzhi Li; Tom M. Mitchell (NeurIPS, 2023)

SPRING: Studying Papers and Reasoning to play Games. - Yue Wu 001; So Yeon Min; Shrimai Prabhumoye; Yonatan Bisk; Russ Salakhutdinov; Amos Azaria; Tom M. Mitchell; Yuanzhi Li (NeurIPS, 2023)

Information Disclosure for Increasing User Satisfaction From a Shared Ride. - David Zar; Noam Hazon; Amos Azaria (IEEE Access, 2023)

The Internal State of an LLM Knows When its Lying. - Amos Azaria; Tom M. Mitchell (CoRR, 2023)

Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. - Yue Wu 001; So Yeon Min; Yonatan Bisk; Ruslan Salakhutdinov; Amos Azaria; Yuanzhi Li; Tom M. Mitchell; Shrimai Prabhumoye (CoRR, 2023)

SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. - Yue Wu 001; Shrimai Prabhumoye; So Yeon Min; Yonatan Bisk; Ruslan Salakhutdinov; Amos Azaria; Tom M. Mitchell; Yuanzhi Li (CoRR, 2023)

Socially Aware Coalition Formation with Bounded Coalition Size. - Chaya Levinger; Amos Azaria; Noam Hazon (CoRR, 2023)

Performance of ChatGPT-3.5 and GPT-4 on the United States Medical Licensing Examination With and Without Distractions. - Myriam Safrai; Amos Azaria (CoRR, 2023)

Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. - Robin Schmucker; Meng Xia 002; Amos Azaria; Tom M. Mitchell (CoRR, 2023)

Keyboard Layout Optimization and Adaptation. - Keren Nivasch; Amos Azaria (Int. J. Artif. Intell. Tools, 2023)

Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. - Robin Schmucker; Meng Xia 002; Amos Azaria; Tom M. Mitchell (AIED (1), 2024)

Coalition Formation with Bounded Coalition Size. - Chaya Levinger; Noam Hazon; Sofia Simola; Amos Azaria (AAMAS, 2024)

Source Detection in Networks using the Stationary Distribution of a Markov Chain. - Yael Sabato; Amos Azaria; Noam Hazon (AAMAS, 2024)

Autonomous Agents for Interrogation. - Merav Chkroun; Amos Azaria (ICTAI, 2024)

Ruffle&Riley: From Lesson Text to Conversational Tutoring. - Robin Schmucker; Meng Xia 002; Amos Azaria; Tom M. Mitchell (L@S, 2024)

Fool Me, Fool Me: User Attitudes Toward LLM Falsehoods. - Diana Bar-Or Nirman; Ariel Weizman; Amos Azaria (CoRR, 2024)

ChatGPT is a Remarkable Tool - For Experts. - Amos Azaria; Rina Azoulay; Shulamit Reches (Data Intell., 2024)

Machine learning approach to predicting the hysteresis of water retention curves of porous media. - Arcady Beriozkin; Or Haim Anidjar; Amos Azaria; Noam Hazon (Expert Syst. Appl., 2024)

The Turing Test Is More Relevant Than Ever. - Avraham Rahimov; Orel Zamler; Amos Azaria (CoRR, 2025)

TALL - A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages. - Moshe Ofer; Orel Zamler; Amos Azaria (CoRR, 2025)

The Self-Execution Benchmark: Measuring LLMs' Attempts to Overcome Their Lack of Self-Execution. - Elon Ezra; Ariel Weizman; Amos Azaria (CoRR, 2025)