UTP-Bench: Uncertainty-aware Travel Planning Benchmark
UTP-Bench evaluates LLM travel planning under real-world uncertainty including delays and stochastic disruptions.
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UTP-Bench evaluates LLM travel planning under real-world uncertainty including delays and stochastic disruptions.
Multi-turn agent credit assignment succeeds under high verifier information density; coverage strategy beats targeting in low-density regimes.
BLUEPRINT jailbreak framework uses Monte Carlo Tree Search over 18 theory-grounded influence factors to achieve near-ceiling attack success on frontier models.
Sparse MoE routing decisions across layers share common geometric structure aligned via control subspaces despite layer-specific coordinate systems.
Contrastive explanations for Quantitative Bipolar Argumentation Frameworks explain differences between arguments rather than single outcomes.
Retrieval-augmented generation and BioNER improve lay summarization of radiology reports to reduce patient reliance on general LLMs.
PolERo dataset evaluates political evasion classification in Romanian, testing cross-lingual transfer of English response-clarity taxonomy.
Fable 5.1 removes data retention policy and increases caching; Stratechery commentary on enterprise safeguards.
Computational methods for maximum likelihood thresholds in colored Gaussian graphical models under high-dimensional constraints.
MultiGhostBench: 928-book multilingual benchmark for detecting LLM-generated text across six languages and distribution shifts.
Theoretical analysis of SGD dynamics via percolation modeling reveals discrete phase transitions in neural network subnetwork merging.
AgentScope: neuro-symbolic framework for diagnosing LLM agent failures via behavioral abstractions and structured analysis.
NE-R1: adaptive retrieval-augmented NER with on-demand mechanism for long-tail and domain-specific entity recognition.
Foundational ontology framework for formalizing contradictions in dialogue-based human-robot and human-agent interactions.
Safe-Stop: learned framework for humanoid robot emergency stopping via stoppability estimation and reach-avoid reasoning.
Algorithm for stable matching maximizing Nash social welfare in classical marriage problem with fairness objectives.
Multimodal framework for subcellularly resolved cell embeddings using RNA, protein sequences, and structural information.
SonicCaps: 15M-caption audio dataset with fine-grained descriptions from Qwen3-Omni for improved audio-language retrieval.
AGI Maze Prediction Datasets benchmark evaluates Transformer world modeling through procedurally generated grid-world transition and state prediction tasks.
SALA framework improves in-context learning for complex reasoning by learning task-specific logical alignment instead of matching fixed demonstration patterns.
ORB-SVM hybrid model applies machine learning to brain tumor detection from MRI scans with reduced parameter overhead versus deep learning.
PGM-attack demonstrates poisoning vulnerability in PGM-index learned indexes through adversarial key insertion to inflate segment counts.
Representational Empowerment scores candidate model elements by capacity expansion for future modeling and planning across environments.
Counter-GEO-Bench evaluates defenses against generative engine optimization attacks that inject misinformation into LLM-synthesized search answers.
DiffIE uses conditional discrete diffusion for multi-output open information extraction, replacing autoregressive generation with parallel trajectory sampling.
Systems survey of GUI agents analyzes observation, memory, action, and runtime efficiency across web, mobile, and desktop environments.
Methods for estimating Bayes-optimal BER and AUC extend prior work on optimal accuracy to imbalanced and noisy classification settings.
Critique refinement and deployment scaffolds make alignment evaluations harder to distinguish from real deployments by adding inference-time compute refinement.
Anthropic releases Claude Fable/Mythos 5.1 with SOTA performance, 75% cache cost reduction, and 70% increased output token throughput.
Paint.NET developer credits Claude AI for reverse-engineering Direct2D wrapper to run on WINE; demonstrates LLM utility for systems programming.