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Liudas Panavas

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#artificial intelligence Preprint Oct 2026

DAYJOB: A Benchmark for Long-Horizon Professional Work

Professional work often starts with a brief request that leaves the professional to work out what is needed, which documents matter, and whether the request's premise holds. We introduce DAYJOB, a benchmark of 130 tasks built by professionals in healthcare (50) and finance (80). The tasks are estimated to take a profes...

Stephanie Finley, Liudas Panavas, T. Mikkelson et al. · 0 citations
Preprint Jul 2026

Cross-Benchmark Generalization in Long-Horizon Agents

Desc descriptive evidence is provided that long-horizon multi-tool post-training can change ways of working that transfer beyond its training domain, and both software-engineering benchmarks improve despite the training collection containing no software-engineering tasks.

Sushant Mehta, Logan Ritchie, Liudas Panavas et al. · 0 citations
Jul 2026

HANDBOOK.md: A Benchmark for Long-Context Agentic Instruction Following

HANDBOOK_md is presented, a benchmark of 65 agentic tasks modeled on how employees follow company handbooks, and every task modifies one of 10 base handbooks, altering the specific rules and thresholds on which grading depends, so no two tasks share the same set of policies.

Liudas Panavas, Sebastian Minus, Bradley Monton et al. · 1 citation

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