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TeleSWEBench: A Commit-Driven Benchmark for Evaluating LLM-Powered Software Engineering in Telecommunications
Announce Type: new Abstract: With the telecommunications field embracing zero touch management alongside novel O-RAN and AI-RAN frameworks, contemporary telecom networks now function as immensely intricate and heavily softwareized codebases. While automated software engineering (ASE) tools and Software Engineering (SWE) Agents hold the potential to alleviate the critical code generation bottleneck in this domain, their ability to navigate and modify specialized, mathematically rigorous...
Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents
arXiv:2605.08747v4 Announce Type: replace Abstract: Standard embodied evaluations do not independently score whether an agent correctly commits to task completion at episode closure, a capacity we call terminal commitment. Behaviorally distinct failures--never completing the task, completing it but failing to stop, and reporting success without sufficient evidence--collapse into the same benchmark failure. We introduce VIGIL, an evaluation framework that makes terminal commitment...
PoCQ: Proof of Contribution Quality as a Lightweight Blockchain Consensus for Secure Federated Learning
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Physics tops complaints on CBSE Class XII grading
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PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents
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ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
arXiv:2605.16309v2 Announce Type: replace Abstract: LLM-based agents can recover from individual execution errors, yet they repeatedly fail on the same fault when the underlying process knowledge--operator schemas, preconditions, and constraints--remains unrepaired. Existing self-evolving approaches address this gap by updating prompts, memory, or model weights, but none directly repair the symbolic structures that encode how tasks are executed, and few provide the governance guarantees...
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Self-Commitment Latency: A Reward-Free Probe for Prompted Implicit Hacking
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Think-Before-Speak: From Internal Evaluation to Public Expression in Multi-Agent Social Simulation
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India's exam marking fiasco leaves university hopes hanging in the balance for students seeking answers
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