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Srijan Bansal

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#artificial intelligence Preprint Oct 2026

Why Do Agent Teams Fail Across Boundaries? A Failure Taxonomy for Agent-to-Agent Systems with Private States

Agents are increasingly interacting with other agents that act for different principals (people or organizations on whose behalf they work), such as a buyer's personal agent negotiating with an enterprise's seller agent. In such agent-to-agent (A2A) scenarios, each agent has its own environment and holds information an...

Sarath Shekkizhar, Prathyusha Jwalapuram, Zi-Xuan Ke et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Understanding the Synergy between SFT, RLVR, and OPD in LLM Post-Training

This work characterize OPD across nine student-teacher pairs spanning 2x to 53x parameter ratios and shows that OPD effectiveness depends on student-teacher compatibility rather than teacher scale alone, and suggests that each post-training stage should be chosen not only for the capability it adds, but for the learnin...

Emre Can Acikgoz, Yang Li, Z. Liu et al. · 0 citations
Preprint Jul 2026

Procedural Memory Distillation: Online Reflection for Self-Improving Language Models

Procedural Memory Distillation is proposed, which converts crossepisode signals into reusable procedural memory and distills it into the policy's weights during training, yielding a memory-free model at inference.

Ye Liu, Srijan Bansal, Bo Pang et al. · 2 citations

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