AI & Machine Learning · Computer Science & AI
Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 54
How Much Can Approximate Equilibria Change the Social Cost of Selfish Routing?
We study approximate Nash equilibria in nonatomic congestion games, with the goal of understanding how much the social cost can change when the equilibrium condition is relaxed.Mathematical Formulation and Comparative Performance Evaluation of Machine Learning Algorithms for Maize Land Suitability Prediction
Addressing the food needs of a growing population is one of the major challenges of developing countries like Ethiopia.LoRAForge: Co-Designing Post-Hoc Compression and Execution for Efficient Multi-LoRA Serving
Multi-LoRA serving allows many task-specific adapters to share a common base model, but scaling to large adapter fleets introduces substantial storage, loading, and execution overheads.Toward Bounding Coding-Agent Autonomy in Software Maintenance: A Pilot Study of Boundary Contracts
As coding agents gain greater autonomy to modify software repositories, relevant context alone does not define their operational authority.OntoDoc: Automatically Generating Ontology Resource Descriptions
Knowledge graphs and ontologies form the backbone of structured, machine-readable knowledge representation, yet ontology terms often lack natural language descriptions, limiting their accessibility…Character-Name Concentration in LLM Fiction: Measuring Displacement and Mitigating Repetition
Character names in large language model (LLM) fiction concentrate on a handful of recurrent names such as 'Elara' and 'Elias', a measurable face of AI slop.CuriousTogether: Implications of Curiosity and Cultural Grounding in Multi-Agent LLM Interactions
Large Language Models (LLMs) are increasingly deployed in multi-agent settings, exhibiting emergent collective behaviors, yet the role of curiosity as a driver of such dynamics remains understudied.What Do LLM Judges Actually Verify? Matched Controls and Record Gaps for Document Currency
LLM judges often check, against an amendment record, whether the documents an answer cites are still in force.Are Fake Citations a Form of Reward Hacking? A Pre-Registered Study of Post-Training and Citation Cues
Post-trained language models fabricate citations at high rates.Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference
Diffusion large language models (dLLMs) generate tokens in parallel via iterative denoising, but their bidirectional attention prevents the KV caching used by autoregressive models and recomputes…Urban functional knowledge transfer through global representations amid uneven data
Urban functional observations are unevenly distributed worldwide, limiting analysis of how places are organised and used.Large language models underrepresent malice and overreport virtue
People increasingly use large language models (LLMs) to interpret others' behaviour, often assuming that LLMs infer motives as humans do.The Verifier Is Part of the Simulator: Evidence-View Gaming in Agentic Equation Discovery
A growing number of agentic pipelines search for governing equations: an agent proposes laws and a verifier checks them against simulated trajectories.J-Anchor: Defending Against Prefill Attacks via J-Space Selective Refusal Restoration
Prefill jailbreaks can cause safety-aligned language models to continue an unsafe assistant prefix even when they would refuse the same request under normal decoding.ProofPatch: Reviewing Lean Statements and Keeping the Reviews Valid as Formalizations Evolve
The kernel of the Lean proof assistant checks that a proof establishes its statement.Unsatz: Evaluating Scientific Discovery Without a Given Ansatz
Before a scientist fits any parameter, they must decide what the model contains: which quantities exist, which are hidden, how they interact, and how they are measured.Physics-Informed Functional Tucker Method with RKHS Factors for Sparse Spatiotemporal Reconstruction
Reconstructing physical dynamics from fixed sparse sensors and missing frames is a fundamental challenge in scientific research.NepTTS-Bench: Native-Speaker Benchmarking and NepaliMOS for Nepali Text-to-Speech
Nepali TTS has reached a point where multiple systems are available, but there is no shared evaluation to compare them.CIRCE Divines LLM Task Complexity from Constraint Structure
Estimating whether a problem is too complex for a large language model (LLM) before the model attempts it can guide model routing, how to allocate test-time compute, and suggest the need for new…Verifying Text-to-SQL Queries under Changing Business Semantics
In text-to-SQL and AI-agent analytics, successful SQL execution does not establish semantic correctness under changing business definitions.