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Research
Oct 30
15d ago
Anisotropic trust region warping for prior-data fitted networks in Bayesian optimisation
arXiv cs.LG
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15d ago
Application of PDE emulators for a multi-material, multi-physics simulation problem
arXiv cs.LG
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15d ago
Artifact Distillation: training-free transfer from frontier to small language models
arXiv cs.CL
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15d ago
Auditing SAE features in multiple-choice QA reveals causal influence beyond error prediction
arXiv cs.CL
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15d ago
Automated interpretability scores can be computed without reading explanations; structural shortcuts found in evaluation data on SAE features
arXiv cs.CL
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Oct 29
15d ago
Microsoft Research Focus – Edition #97: news and research across Microsoft on coding agents, AI at work, and extended-range weather forecasting
Microsoft Research
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16d ago
A smart instant book filter model based on dual-objective optimization
arXiv cs.AI
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16d ago
BehaveRec evaluates when long-term behavioral history and community signals improve sequential recommendation.
arXiv cs.AI
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16d ago
CohortFlow: a steerable clinical cohort curation agent with localized semantic correction
arXiv cs.AI
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16d ago
Don’t pick a winner: knowledge conflicts require a prior rather than a rule.
arXiv cs.AI
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16d ago
Enhancing deep learning model performance through data generation strategies: classification of olive tree diseases
arXiv cs.AI
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16d ago
Executable archaeology of programs that model programming; reanimating the Heuristic Compiler (1961) and KBEmacs (1984)
arXiv cs.AI
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16d ago
From structural feedback to prompt policies: learning faithful text-to-image prompt editors
arXiv cs.AI
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16d ago
kw-bench: Breaking Frontier Harnesses on Real-World Tasks
arXiv cs.AI
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16d ago
LM-DSB: a lightweight multi-agent system for automated daily safety bulletin generation in construction
arXiv cs.AI
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16d ago
LoRA on a budget: function-aware post-hoc compression for adapter fleets
arXiv cs.AI
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16d ago
MAREval: a multi-agent framework for evaluating natural language recommendation explanations
arXiv cs.AI
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16d ago
MARQ: a modular, LLM-agnostic requirement quality assessor infused with systems engineering knowledge
arXiv cs.AI
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16d ago
Measuring AI’s time savings: contrasting stopwatch and ledger views to define time saved and excess escaped defects
arXiv cs.AI
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16d ago
Ontology-guided multi-agent reasoning for explainable differential diagnosis
arXiv cs.AI
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16d ago
Plenty of room in the middle: revealing opportunities on a GPU cluster via fine-grained monitoring
arXiv cs.AI
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16d ago
Quantile regression on tracking data estimates time-to-arrival in sports as the lower quantile of locomotion time given current kinematic state.
arXiv cs.AI
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16d ago
Skill dreaming: evolving repository skills through pull request streams
arXiv cs.AI
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16d ago
Spiking neural networks are harder to steal: a benchmark study of model stealing attacks
arXiv cs.AI
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16d ago
Stable proofs for LLM-generated code hold after program refactoring; RefactorProof derives 458 Lean-certified variants from 185 VERINA tasks while keeping the specification and proof fixed.
arXiv cs.AI
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16d ago
Verifiable efficiency limits of innate LLM planning in sliding puzzles
arXiv cs.AI
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16d ago
WAKMan: Workload Aware KVCache Manager improves prefix caching for LLM KV states under memory constraints
arXiv cs.AI
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16d ago
When retrieval is not enough: obsolete facts in agent memory
arXiv cs.AI
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16d ago
Why and how to do science when AI is better at it: a framework grounded in durable, collective human understanding of the world
arXiv cs.AI
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Oct 28
16d ago
Why infrastructure design has entered a defining era
MIT News (AI)
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17d ago
MedJev: evaluating zero-shot System One decision making in medicine across ten medical benchmarks using MIMIC data
arXiv cs.CL
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17d ago
Minimax-optimal small-loss bounds for online linear optimisation on ell_p balls
arXiv cs.LG
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17d ago
Multiple leak localization in water distribution networks via graph neural networks
arXiv cs.LG
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17d ago
OmniBrain-0 presents a lightweight unified embodied agent coordinating manipulation and navigation for general-purpose embodied intelligence
arXiv cs.CL
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17d ago
Professor Paris Smaragdis seeks to improve machines’ ability to listen and understand sound.
MIT News (AI)
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17d ago
ReCoPII: a relation-grounded framework for building contextual PII masking datasets
arXiv cs.CL
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17d ago
ResCom: activation residual compensation for large language model quantization
arXiv cs.LG
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17d ago
Scaling and renormalization in neural networks: an effective renormalization-group description of grokking
arXiv cs.LG
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17d ago
Specialization, diversity, and scaling in child-scale language models
arXiv cs.CL
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17d ago
Structured maps for landmark-based route instructions with LLMs
arXiv cs.CL
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