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cs.AI2026

Stashbird: Episode-Grounded Lifecycle Reconciliation for Conversational Agent Memory

Chidera Biringa, Lucas Yannul, Xiaowen Wang +5

AI agents require memory that remains consistent as conversational evidence changes. We present Stashbird, an episode-grounded memory system that uses provenance to reconcile deriv…

cs.AI2026

CaRE Compute-aware Remasking Evaluation Protocol for Masked Diffusion Language Models

Yash Shah, Abhijit Chakraborty, Vivek Gupta

Masked diffusion language models (MDLMs) are advancing rapidly, yet the evaluation standards needed to reliably interpret their progress have not kept pace. Despite MDLMs becoming…

cs.AI2026

GamED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation

Shiven Agarwal, Yash Shah, Ashish Raj Shekhar +2

We introduce GamEDAI, a hierarchical multi-agent framework that transforms instructor-provided questions into fully playable, pedagogically grounded educational games validated thr…

cs.AI2026

OSCAR: Orchestrated Self-verification and Cross-path Refinement

Yash Shah, Abhijit Chakraborty, Naresh Kumar Devulapally +2

Diffusion language models (DLMs) expose their denoising trajectories, offering a natural handle for inference-time control; accordingly, an ideal hallucination mitigation framework…

cs.AI2026

Synapse: Federated Tool Routing via Typed Compendium Artifacts

Abhijit Chakraborty, Yash Shah, Vivek Gupta

The unit of collaboration in federated learning determines what guarantees are even expressible. Flat units like weights, prompts, raw examples, carry no type signature on which pr…