Irina Rish

GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities ACL 2026 Persistent Instability in LLM’s Personality Measurements: Effects of Scale, Reasoning, and Conversation History AAAI 2026 AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N ICML 2025 CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments EMNLP 2025 Context is Key: A Benchmark for Forecasting with Essential Textual Information ICML 2025 Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference ICLR 2025 Handling Delay in Real-Time Reinforcement Learning ICLR 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching ICLR 2025 Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025 Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning ICLR 2025 Surprising Effectiveness of pretraining Ternary Language Model at Scale ICLR 2025 Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025 Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design EMNLP 2024 Knowledge Distillation in Federated Learning: A Practical Guide IJCAI 2024 RedPajama: an Open Dataset for Training Large Language Models NeurIPS 2024 Unsupervised Concept Discovery Mitigates Spurious Correlations ICML 2024 Using Unity to Help Solve Reinforcement Learning NeurIPS 2024 Broken Neural Scaling Laws ICLR 2023 Maximum State Entropy Exploration using Predecessor and Successor Representations NeurIPS 2023 Compositional Attention: Disentangling Search and Retrieval ICLR 2022 Continual Learning In Environments With Polynomial Mixing Times NeurIPS 2022 Parametric Scattering Networks CVPR 2022 Towards Scaling Difference Target Propagation by Learning Backprop Targets ICML 2022 Adversarial Feature Desensitization NeurIPS 2021 Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization NeurIPS 2021 Predicting Infectiousness for Proactive Contact Tracing ICLR 2021 Toward Optimal Solution for the Context-Attentive Bandit Problem IJCAI 2021 Modeling Dialogues with Hashcode Representations: A Nonparametric Approach AAAI 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NeurIPS 2020 Beyond Backprop: Online Alternating Minimization with Auxiliary Variables ICML 2019 Kernelized Hashcode Representations for Relation Extraction AAAI 2019 Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference ICLR 2019 Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017 Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World IJCAI 2017 Variable Selection for Gaussian Graphical Models AISTATS 2012 Discriminative Network Models of Schizophrenia NeurIPS 2009