RubricWorld improves LLM grading accuracy with world model-guided rubric optimization
Raises gpt-5-mini accuracy from 18.20% to 46.70% on ASAP2.0 exceeding baseline by 22.60 points.
Raises gpt-5-mini accuracy from 18.20% to 46.70% on ASAP2.0 exceeding baseline by 22.60 points.
Participants adopted planted falsehoods from LLMs at 65% rate regardless of briefing falsification level, collapsing trust calibration.
A benchmark finds LLMs can store records in telegraph-style cablese, cutting tokens by up to 49 percent without hurting later answers.
Agent-security benchmark ASR scores shift up to 13 percentage points when tool names change, showing single-representation robustness scores may not generalize.
Knowledgator released GLiFormer, an Apache-2.0 encoder (264M/575M) handling NER, classification, relations, and nested JSON extraction, scoring 91.10 F1.
Researchers build a 12,000-dilemma multilingual dataset and use orthogonalized task vectors to isolate and steer ethical value preferences in LLMs.
Oslo and FFI researchers show structured agentic workflows lift LLM alert-triage accuracy from 0% to about 93% on malicious cases.
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