{"total":19,"rows":[{"id":"2509.09372","title":"VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model","created":"2025-09-11","cited_by_count":145,"area":"mllm"},{"id":"2510.07077","title":"Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications","created":"2025-10-08","cited_by_count":84,"area":"mllm"},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2510.10991","title":"A Survey on Agentic Multimodal Large Language Models","created":"2025-10-13","cited_by_count":23,"area":"mllm"},{"id":"2609.10522","title":"Show-Harness: Just a VLM Agent Can Play Robots","created":"2026-09-09","cited_by_count":20,"area":"mllm"},{"id":"2512.11218","title":"Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action Policy","created":"2025-12-12","cited_by_count":18,"area":"mllm"},{"id":"2602.15397","title":"ActionCodec: What Makes for Good Action Tokenizers","created":"2026-02-17","cited_by_count":18,"area":"mllm"},{"id":"2511.02776","title":"XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations","created":"2025-11-04","cited_by_count":15,"area":"mllm"},{"id":"2606.06155","title":"AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding","created":"2026-06-04","cited_by_count":12,"area":"mllm"},{"id":"2605.12369","title":"GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization","created":"2026-05-12","cited_by_count":10,"area":"mllm"},{"id":"2602.10109","title":"ST4VLA: Spatially Guided Training for Vision-Language-Action Models","created":"2026-02-10","cited_by_count":9,"area":"mllm"},{"id":"2607.13429","title":"Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment","created":"2026-07-15","cited_by_count":6,"area":"mllm"},{"id":"2602.18020","title":"UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models","created":"2026-02-20","cited_by_count":5,"area":"mllm"},{"id":"2606.12366","title":"APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies","created":"2026-06-10","cited_by_count":5,"area":"mllm"},{"id":"2601.22714","title":"Vision-Language Models Unlock Task-Centric Latent Actions","created":"2026-01-30","cited_by_count":3,"area":"mllm"},{"id":"2608.07596","title":"LIRA: Local Cross-Layer Information Routing for Vision-Language-Action Decoding","created":"2026-08-06","cited_by_count":3,"area":"mllm"},{"id":"2605.24890","title":"QuoVLA: Quotient Space for Vision-Language-Action Models","created":"2026-05-24","cited_by_count":2,"area":"mllm"},{"id":"2601.07516","title":"Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions","created":"2026-01-12","cited_by_count":1,"area":"mllm"},{"id":"2606.26095","title":"Learning Action Priors for Cross-embodiment Robot Manipulation","created":"2026-06-24","cited_by_count":1,"area":"mllm"}],"next_cursor":null}