{"total":66,"rows":[{"id":"2604.19784","title":"Peer-Preservation in Frontier Models","created":"2026-03-30","cited_by_count":9,"area":null},{"id":"2604.14548","title":"VoxSafeBench: Not Just What Is Said, but Who, How, and Where","created":"2026-04-16","cited_by_count":8,"area":null},{"id":"2606.14502","title":"From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI","created":"2026-06-12","cited_by_count":6,"area":null},{"id":"2604.10696","title":"Camyla: Scaling Autonomous Research in Medical Image Segmentation","created":"2026-04-12","cited_by_count":5,"area":null},{"id":"2604.16472","title":"Training Language Models for Bilateral Trade with Private Information","created":"2026-04-10","cited_by_count":5,"area":null},{"id":"2605.31140","title":"EvoDefense: Co-Evolving Black-Box Defense with Large Language Models","created":"2026-05-29","cited_by_count":4,"area":null},{"id":"2607.05863","title":"Strategic Bargaining in Multi-Buyer Markets: Reinforcement Learning from Verifiable Rewards for LLM Negotiations","created":"2026-07-07","cited_by_count":4,"area":null},{"id":"2607.07916","title":"Persona Cartography: Charting Language Model Personality Traits in Weight Space","created":"2026-07-08","cited_by_count":4,"area":null},{"id":"2606.26947","title":"Scaling Multi-Reference Image Generation with Dynamic Reward Optimization","created":"2026-06-25","cited_by_count":3,"area":null},{"id":"2607.18584","title":"On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers","created":"2026-07-20","cited_by_count":3,"area":null},{"id":"2608.23875","title":"AI Finds A Way","created":"2026-08-24","cited_by_count":3,"area":null},{"id":"2604.22779","title":"KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning","created":"2026-04-03","cited_by_count":2,"area":null},{"id":"2605.07905","title":"CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers","created":"2026-05-08","cited_by_count":2,"area":null},{"id":"2605.29815","title":"PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing","created":"2026-05-28","cited_by_count":2,"area":null},{"id":"2606.22768","title":"Factored Gossip DiLoCo: Reducing Blocking Communication in DiLoCo","created":"2026-06-22","cited_by_count":2,"area":null},{"id":"2607.18360","title":"HALLMARK: How to Diagnose LLM Citation Verifiers and When to Deploy Them","created":"2026-07-20","cited_by_count":2,"area":null},{"id":"2608.21736","title":"Adaptive Multilevel Twisted Sequential Monte Carlo for Rare Events Estimation in Language Models","created":"2026-08-22","cited_by_count":2,"area":null},{"id":"2603.23447","title":"3DCity-LLM: Empowering Multi-modality Large Language Models for 3D City-scale Perception and Understanding","created":"2026-03-24","cited_by_count":1,"area":null},{"id":"2605.29522","title":"DeepSurvey: Agent-Oriented Automated Survey Generation with Analytical Depth and Citation Reliability","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2606.06510","title":"FP8 is All You Need (Part 1): Debunking Hardware FP64 as the HPC Holy Grail (Sep 3rd version)","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2606.12900","title":"Zero-source LLM Hallucination Detection with Human-like Criteria Probing","created":"2026-06-11","cited_by_count":1,"area":null},{"id":"2606.18649","title":"Gender Bias in LLM Hiring Decisions: Evidence from a Japanese Context and Evaluation of Mitigation Strategies","created":"2026-06-17","cited_by_count":1,"area":null},{"id":"2607.10034","title":"MLPs are Hebbians: Constructing Efficient Fact-Storing MLPs for Transformers","created":"2026-07-10","cited_by_count":1,"area":null},{"id":"2607.28801","title":"Benchmarks Are Not Monolithic: Sample-Level Auditing and Orchestration for LLM Evaluation","created":"2026-07-30","cited_by_count":1,"area":null},{"id":"2608.25097","title":"PhysElite: How Far Are LLMs from Solving Olympiad-Level Physics Problems?","created":"2026-08-25","cited_by_count":1,"area":null},{"id":"2608.27370","title":"Puro-2B: Poor Lab's Qwen2-1.5B Trained on RTX 5090 within $5090","created":"2026-08-27","cited_by_count":1,"area":null},{"id":"2608.30980","title":"Evaluating and Improving LLM Self-Modeling","created":"2026-08-31","cited_by_count":1,"area":null},{"id":"2603.25178","title":"Bilingual Text-to-Motion Generation: A New Benchmark and Baselines","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2603.29077","title":"Dual Perspectives in Emotion Attribution: A Generator-Interpreter Framework for Cross-Cultural Analysis of Emotion in LLMs","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2604.12995","title":"PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2604.24468","title":"A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.11059","title":"Uniform Scaling Limits in AdamW-Trained Transformers","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.15793","title":"AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.19366","title":"Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2605.21272","title":"MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2605.21603","title":"DynaFlow: Transparent and Flexible Intra-Device Parallelism via Programmable Operator Scheduling","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2606.20295","title":"Token-Operations-Oriented Inference Optimization Techniques for Large Models","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2606.31039","title":"Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.13332","title":"Agora: Collective and Permissionless Internet-Scale Pretraining of Large Language Models","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2608.00640","title":"TreeProbe : A Tibetan Medicine Benchmark for Cultural Bias in LLMs","created":"2026-08-01","cited_by_count":0,"area":null},{"id":"2608.06808","title":"Evolving Parallel Algorithm Portfolios via Potential-Aware Instance Generation with LLMs","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2608.15417","title":"An Evaluation Framework for National AI Regulation","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2608.25460","title":"Training Alignment Auditors via Reinforcement Learning","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.00565","title":"Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.09657","title":"RESCUE-BENCH: Towards Relation-Aware Multi-Party Emotional Support Conversation Systems","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.31871","title":"IndustryLLM: Failure-Driven LLM Training for Industrial Procurement","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.33666","title":"One Model Is Not a Crowd: Multi-LLM and Aspect-Conditioned Diverse Comment Generation","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.35409","title":"AwarenessBench: Assessing Cognitive Capabilities of Language Models","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.37416","title":"Scale Sensitivity in Low-Bit Post-Training Quantization: Curvature of the Quantization Error Landscape","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":"2609.39661","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":"2610.01395","title":"AF-Muon: An AdamW-Free Muon Optimizer for Tied-Embedding Models","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.01519","title":"Auto-Formalizing Neuro-Symbolic Predictors","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.07365","title":"Who Wrote It Is Not Enough: Detecting Who Contributed the Insight","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.07533","title":"SkillFormer: Skill-Decomposed Adaptation for Audio Language Models","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.07791","title":"Illusory Pattern Perception Drives Spurious Inference in Large Language Models","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.07936","title":"Pseudowords as probes: Large Language Models show little of the sublexical sensitivity that governs human pseudoword processing","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.08037","title":"Are Language Models Script-Aware?","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.08049","title":"A Riemannian Geometry for Low-rank Adaptation","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.08745","title":"Linear Bandits under Exact Sliding-Window Constraints","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.09183","title":"Q-PACE: Dynamic Precision Allocation for Quantization-Aware Training","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.09569","title":"RELATE: An Evaluation Framework for measuring Relational Orientation of Large Language Models","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.10227","title":"From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.10918","title":"Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.11415","title":"Refinement as a Service: Algorithmic Predictor Refinement","created":"2026-10-08","cited_by_count":0,"area":null},{"id":"2610.12367","title":"Which Skill to Distill? SGUID: Selecting a Compact Skill Bank for Model-Skill Co-Evolution","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}