Papers by Ofer Meshi
ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders (2026.eacl-long)
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Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier
| Challenge: | a "realism gap" exists between simulations and real-world user models . large language models (LLMs) are a key component of conversational AI . |
| Approach: | They propose a framework that combines statistical alignment, human-likeness score and counterfactual validation to test for generalization. |
| Outcome: | The proposed framework outperforms baselines in counterfactual validation, showing that data-driven simulators adapt more realistically to unseen behaviors. |