{"total":45,"rows":[{"id":"2609.08977","title":"Multimodal Duplex Interaction Agent","created":"2026-09-08","cited_by_count":3,"area":null},{"id":"2610.07557","title":"CheckerBench: Can Long-Horizon Agents Synthesize Static-Analysis Checkers?","created":"2026-10-06","cited_by_count":2,"area":null},{"id":"2608.11152","title":"Scheduling Mixed RL Rollouts Beyond Prefix Locality","created":"2026-08-11","cited_by_count":1,"area":null},{"id":"2608.13482","title":"Synthetic Persona Pretraining: Alignment from Token Zero","created":"2026-08-13","cited_by_count":1,"area":null},{"id":"2608.30505","title":"Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability","created":"2026-08-31","cited_by_count":1,"area":null},{"id":"2609.10494","title":"IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier","created":"2026-09-09","cited_by_count":1,"area":null},{"id":"2609.32534","title":"DepthBench: Measuring How Residual Connections Enable More Computational Depth","created":"2026-09-26","cited_by_count":1,"area":null},{"id":"2610.04184","title":"EvalResearchBench: Can AI Agents Design Their Own Evaluations?","created":"2026-10-03","cited_by_count":1,"area":null},{"id":"2608.13675","title":"From BERT to Frontier Agents: Eight Years of Language-Model Progress, the Collapse of the Capability-Cost Curve, and the Rise of Task-Targeted Models","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.15012","title":"SysEvolve: An AI-native, safe, autonomous adversarial attack-defense co-evolutionary system","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2608.16760","title":"On the Principles Behind Neural Network Optimizers","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.26052","title":"How Much Rank Does LoRA Need? Rank-Error Bounds for Transformer Attention","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.03773","title":"RealCADBench: Benchmarking Parametric CAD Modeling from Industrial Design Intents","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.07784","title":"xDailyBench: Benchmarking LLMs on Professional Consultation for Real-Life Problems","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.08418","title":"Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.15545","title":"The Token Before the Value Is the Key: How Hybrid Architectures Organize Induction Circuits","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.22247","title":"CHART: A Harness-Rotation Curriculum for Harness-Robust Search Agents","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2609.24202","title":"Opinion Leader Dynamics: How Sparse Attention Shapes Token Clustering","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.27603","title":"When Context Misleads: In-context Learning with Jurisdiction in Large Language Models","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.31382","title":"Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.32533","title":"LLMAdBench: A Human Preference Benchmark for Advertising in LLM Responses","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.32763","title":"Mandela-Bench: Multimodal Models Remember Canonical Images Instead of Seeing Them","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.33047","title":"Cost-free Spectral Estimation for Adaptive Newton--Schulz in Matrix Optimizers","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.33465","title":"GSM: Efficient Language Modeling with Shared Global State","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.35263","title":"WavePP: High-Throughput Pipeline Parallel LLM Prefill under Prefix Reuse","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.35561","title":"RSI-Master: Structuring Experiments to Guide Autonomous Model Improvement","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.35701","title":"MeqMuon: Matrix-Equilibrating Muon for LLM Pretraining","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.36246","title":"Learning from Teacher Continuations at Student States","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.36705","title":"JudgeProfile: Understanding and Steering Subjectivity in LLM Judges","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.36730","title":"Can Agents Design Libraries for Agents?","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.37852","title":"Delta-Matching: Closing the Final Gap of Native 8-bit Training for LLMs","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.39601","title":"GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2609.39661","title":"The Evolution of Attention in Large Language Models: Mechanisms, Trade-offs, and Emerging Trends","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2609.39863","title":"FIGS: Evaluating Multi-Turn Sycophancy Without Penalizing Empathy","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2609.39929","title":"RoPE at the End of Its Rope? Theory, Diagnosis, and Mitigation of Long-Context Failures","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.04381","title":"Beyond Plausibility: Verifiable Fine-Grained Image Editing on Structured Assets","created":"2026-10-03","cited_by_count":0,"area":null},{"id":"2610.04976","title":"Priced Guidance: Can Language Models Generate Future Research Ideas?","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.06578","title":"DGA-Muon: Decoupled Geometry-Aligned Adaptive Scaling for Muon","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.06784","title":"How to scale your HEP ML models: A recipe for robust architecture comparisons at scale","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.06825","title":"PlotGround: Grounding Plot Digitization in Real Scientific Figures and Their Source Data","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.07887","title":"Visual Abstention in Unified Multimodal Models","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.09384","title":"The Persona Hierarchy Model: Understanding Contextual Generalization in Fine-Tuning LLMs","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.09896","title":"NL2Hull: A Natural Language-Driven Constrained Ship Design Decision Framework","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.10114","title":"Mechanics of Long-Context Hybrid Models Part 1.1: From Hybrid Attention to Hybrid Position","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.14745","title":"SAGE: Pushing 2-Bit Vector-Quantized LLMs toward Real-World Usability","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}