Jasmina Gajcin

22 papers A 3B 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CURE2026: Communicating Uncertainty to foster Realistic Expectations via Human-Centered Design. IUI Companion Jasmina Gajcin, Jovan Jeromela, Joel Wester, Sarah Schömbs, Styliani Kleanthous, Karthikeyan Natesan Ramamurthy, Hanna Hauptmann, Rifat Mehreen Amin
2026	J	`jnl`	FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models. CoRR Javier Carnerero-Cano, Massimiliano Pronesti, Radu Marinescu, Tigran T. Tchrakian, James Barry, Jasmina Gajcin, Yufang Hou, Alessandra Pascale, Elizabeth Daly
2025	J	`jnl`	Agentic AI Needs a Systems Theory. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Matthew Riemer, Djallel Bouneffouf, John T. Richards, Amit Dhurandhar, Elizabeth M. Daly, Michael Hind, Prasanna Sattigeri, Dennis Wei, Ambrish Rawat, Jasmina Gajcin, Werner Geyer
2025	J	`jnl`	Generate, Evaluate, Iterate: Synthetic Data for Human-in-the-Loop Refinement of LLM Judges. CoRR Hyo Jin Do, Zahra Ashktorab, Jasmina Gajcin, Erik Miehling, Martín Santillán Cooper, Qian Pan, Elizabeth M. Daly, Werner Geyer
2025	J	`jnl`	Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations. CoRR Jasmina Gajcin, Erik Miehling, Rahul Nair, Elizabeth Daly, Radu Marinescu, Seshu Tirupathi
2025	—	`conf`	Synthetic Data for Evaluation: Supporting LLM-as-a-Judge Workflows with EvalAssist. EMNLP (System Demonstrations) Martín Santillán Cooper, Zahra Ashktorab, Hyo Jin Do, Erik Miehling, Werner Geyer, Jasmina Gajcin, Elizabeth M. Daly, Qian Pan, Michael Desmond
2025	—	`conf`	Towards Personalised and User-Friendly Counterfactual Sequences for Failure Correction. UMAP (Adjunct Publication) Jasmina Gajcin, Jovan Jeromela, Ivana Dusparic
2025	J	`jnl`	Who Sees the Risk? Stakeholder Conflicts and Explanatory Policies in LLM-based Risk Assessment. CoRR Srishti Yadav, Jasmina Gajcin, Erik Miehling, Elizabeth Daly
2024	J	`jnl`	ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies. CoRR Jasmina Gajcin, Ivana Dusparic
2024	A	`conf`	RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning. AAMAS Jasmina Gajcin, Ivana Dusparic
2024	J	`jnl`	Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities. ACM Comput. Surv. Jasmina Gajcin, Ivana Dusparic
2024	B	`conf`	Semifactual Explanations for Reinforcement Learning. HAI Jasmina Gajcin, Jovan Jeromela, Ivana Dusparic
2024	J	`jnl`	Semifactual Explanations for Reinforcement Learning. CoRR Jasmina Gajcin, Jovan Jeromela, Ivana Dusparic
2023	A	`conf`	Counterfactual Explanations for Reinforcement Learning Agents. AAMAS Jasmina Gajcin
2023	A	`conf`	Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. ECAI Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2023	J	`jnl`	Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification. CoRR Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2023	J	`jnl`	RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning. CoRR Jasmina Gajcin, Ivana Dusparic
2022	J	`jnl`	Causal Counterfactuals for Improving the Robustness of Reinforcement Learning. CoRR Tom He, Jasmina Gajcin, Ivana Dusparic
2022	J	`jnl`	Counterfactual Explanations for Reinforcement Learning. CoRR Jasmina Gajcin, Ivana Dusparic
2022	—	`conf`	ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning. EXTRAAMAS@AAMAS Jasmina Gajcin, Ivana Dusparic
2022	J	`jnl`	ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning. CoRR Jasmina Gajcin, Ivana Dusparic
2021	J	`jnl`	Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents. CoRR Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic