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<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5uem1pYkh2dnBOWDFXSUlqNjRNYl9Qbi01M0Z6MDg5QVlNSzBxdGJVNm5kTjlBZkJTVHVVandfN0pjUTVMSFpsVjFuSThBQThVU1VOWVV0SUpBRmRWMzM4?oc=5" target="_blank">Grounding large language models in clinical diagnostics</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
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<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE1GdHFkSUR0OFVudk9EZHBoUTBSQVJVcUUxX01zUThmbmF3QVJGYS15YzlMeGVLZEVLek5OclVoeVVSVjFrY3ZENXRkUzVaVnFN?oc=5" target="_blank">Grounding Everything in Tokens for Multimodal Large Language Models</a>&nbsp;&nbsp;<font color="#6f6f6f">alphaXiv</font>
<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9PdnF0ZTdCenlPZ2pSQjdyT0g2WjJ4QlkwdU5KUUVrR01HV2lBSzR3STZjd0VjNU9EeXh0N2FqV21NdGRXYWp3cWo3OGdxM1hrMkVhNFRncWk1R0ZhYjhBamotdmk?oc=5" target="_blank">CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records | Proceedings of the AAAI Conference on Artificial Intelligence</a>&nbsp;&nbsp;<font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>
<a href="https://news.google.com/rss/articles/CBMinwFBVV95cUxOOXMxc24tZ05VelpjRkp2LThNRXNYZHZCcW9LcEZhWk9vdjRXYXh1VXhDeHA0am9fYkVRRUJDX1JBX19zUE5yaGhJOWNrVXBjd3Vid0dQcm00TVVXRXRjNkxLc2tZTmZEeFZxRk40czRFZGFWRENPM1NuNDRtNmQ1bmlIX08tRjl4SVFtUzlHdTZPb0t3OWtYX3lMTWZtMmM?oc=5" target="_blank">Will multimodal large language models ever achieve deep understanding of the world?</a>&nbsp;&nbsp;<font color="#6f6f6f">Frontiers</font>
<a href="https://news.google.com/rss/articles/CBMiqgFBVV95cUxPNFdmR1VUTXJTejVDRzktN0dHbTl0bkxmRnUwc3ExNW9WWlFzM3Rnd3k0N3hkclBVUlhzQzlTd1hJVDVsbWJZdXA4RjlrZS11REhwdE1zU2xYLUZGUEpub1Y2LU9Lalo0OHIyZFVSSF9pZHNRODhOUGl5ZDkwTmdOM1pOeUZiTGJjNTlXUWRkTFlPOXY0TjB6N1dZUUtKb1BSaTZyelg3VzFOQQ?oc=5" target="_blank">Grounding Your LLM: A Practical Guide to RAG for Enterprise Knowledge Bases</a>&nbsp;&nbsp;<font color="#6f6f6f">Towards Data Science</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE05T21qejFBSjFZTDgzU2lobE1XN0J5YTFxWXNpYzBzbTFYOGwyc2RTdGkwM1dLeWhzdHZwUlFCdTdvVXh2QjMwc2UtRGVKcWRzc1lIeng0M1NCN3dyQk1z?oc=5" target="_blank">Prediction, syntax and semantic grounding in the brain and large language models</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5vRmhFZWlaWmhsMXhTSnRLdHp0MnF3MS1QbWlsTXR1M0RfNHM3TE45NDI3dEZ4Q28wMlFaVkFyZWtpOWNiWnVNMFRQeXg4dnVhY0JFb0pZX3dfQk9vLTBUd3BXQ04?oc=5" target="_blank">SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability</a>&nbsp;&nbsp;<font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>
<a href="https://news.google.com/rss/articles/CBMiuAFBVV95cUxORVctLUpKZE9IVUZPY0t1T3dRa0I1MjNfczEtOWJjUzhKT0pZX1FKenA5dzN2WEVjZGZsYjZvRTBlbE1mblNlaVd1Umh3S3luS1lFZ2d5a25WZHlTSVlsUExfa1hFSDd5ekowZlVPME85dG1NaGxqbF9RQXp6ejByZGpyLUtfUjBhd0lWTGN4TlNKbkVHVEZGb2JhQ2R3Nkc5YUNYM3FTUGg0R1Rjd0U5VkFKNURETms4?oc=5" target="_blank">FACTS Benchmark Suite: a new way to systematically evaluate LLMs factuality</a>&nbsp;&nbsp;<font color="#6f6f6f">Google DeepMind</font>
<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE1SWE1GYzZxTFhfU09ZMEwxUTFtb3ZuQWlWTkY3S1l5eC1mUHZuWGUyX3JJNnV1ME1JUHcwc0tqZG9oTDFJbjVKQlUwSHhDMGl0TlhnWkgybUFGR0s3ZkpPTGFTRldqV2FTbUZHYWlqLU5JNzQ5dDVnYQ?oc=5" target="_blank">Grounding Multimodal Large Language Models in Actions</a>&nbsp;&nbsp;<font color="#6f6f6f">Apple Machine Learning Research</font>
<a href="https://news.google.com/rss/articles/CBMisAFBVV95cUxQMUZ3TVoyUGNXTUdlZEdnN0NxOHVjNkZnVVdxTXVsbU43Wm5jcFdnaS05SkJqRm5Lb2QyX0dUVTJJY3FqWHRnMWQybVF6TFVsNXJjOU5GMWdxSXV5UEdxVFp3a21kZGhhclVGenJSdWJuZ2dyY0h4all6MmwySDNOREF6M3BYcU9lVkFWVmlYaWFOVXRqeFJ0VTdMaEVjN1pfckZTc0txV1luZTJSTWRRMg?oc=5" target="_blank">Phi-Ground: Improving how AI agents navigate screen interfaces</a>&nbsp;&nbsp;<font color="#6f6f6f">Microsoft</font>
<a href="https://news.google.com/rss/articles/CBMimgFBVV95cUxOV3R6SlA2Y05FTnhoWG9YaGczSHlRWTJwNWtQa1l0T3d0YllBWmo4UEtaR0xhc2tOOGt1QlAxQ3hzSDlSbmxmalBnZHlfUUU3dUFjSUUtTml5TWlWYnVoTThCNENSSzZaWFdMZ2tJQXluX2NIN183ZkZtZ010T3FGRlk3NGVrT282ckFaNGdGdE5FcFU3VG81eVFn?oc=5" target="_blank">Effective large language model adaptation for improved grounding</a>&nbsp;&nbsp;<font color="#6f6f6f">Google Research</font>
<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE9qd2VrSkdSQkRiNlg1OWZqSzZtMzhxdTdlT0ZTOE5uNUExdnA1Y0JVMWxUT0djbV9EWm4zZkw0MzBUbUhwLU9IZWswNW5Mbkgy?oc=5" target="_blank">Qwen3-VL-Seg: Unlocking Open-World Referring Segmentation with Vision-Language Grounding</a>&nbsp;&nbsp;<font color="#6f6f6f">alphaXiv</font>
<a href="https://news.google.com/rss/articles/CBMitAFBVV95cUxPZ1NUWWxZVjRCTEpRa2p3NnNTU1V6dTc0R21xVEJ0SURZejFRM21vSTQydVp5UzhXekFyZFBZVVhfTllwakttdGFNckttWWxTbDhab1ZpODhDOGR6b1k3M2x2MWF2S0lKRnZUNkRhZ0tSbmVyZlRZXzN1Q2NBYVJQZjRUajIwR0VBbWhFYXNjaWF6Qi1ma1Q5VlpMRHY0VHJxckkwMnNKSXpGR0pQd3VLRmdZcTM?oc=5" target="_blank">Tailoring Large Language Models for Professional-Grade Work</a>&nbsp;&nbsp;<font color="#6f6f6f">Thomson Reuters</font>
<a href="https://news.google.com/rss/articles/CBMitwFBVV95cUxNdmNkellxMU5jbGtFLWw2aXR3RzhkZnFzT3lvQ0ctcjVzakJIT1ZoTUxMdFJVVm1NWlhfX2JNMWt6dlk2Sy1BVUNNU0t5Q216UkpQbHVxQWx2U2FVemlMazFzS1VwRUNMY1RhaDF5RkJlR05Cd3ZVYVVEcm5tY0ZUQXRMcU1rYUJIZnpfSXlTbkdQXy1zNG1fNllNZHdJYzFkOGV4UkgwYlJVNWxmVXpIdWVCd0xuUkU?oc=5" target="_blank">FACTS Grounding: A new benchmark for evaluating the factuality of large language models</a>&nbsp;&nbsp;<font color="#6f6f6f">Google DeepMind</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3Zmw5ajRoQXo3R1ZQR0FaSWxsUEd0SUp1bWZsMm9LNU1jYzQ1UzZaTUhrM2JLVkNyaGd3YUhXUXQwY3BSNlBXUjQ4Z25SX3Z2aGxJeVdIcEhaZXRTZDNJ?oc=5" target="_blank">Large language models without grounding recover non-sensorimotor but not sensorimotor features of human concepts</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE1nTXVhMFJlb0NHV0dLcEVhNFl5cUxaZXVkeElYVTd4cFc1dDdUeGVHaXNmaGx2dzloT09WSzhHZl91QzBtTlQzT05vVTVYMUo5?oc=5" target="_blank">N3D-VLM: Native 3D Grounding Enables Accurate Spatial Reasoning in Vision-Language Models</a>&nbsp;&nbsp;<font color="#6f6f6f">alphaXiv</font>
<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFB4QXJRZHlsMkdGRTVvUE9uNmdVVVktR1owV2RoeWdPSUtnVF85d3RGX2VCNlBEVzVsVmMxOVNEam8zWXdtTlJsNzhwU2FyU21DQnRrUlZUSE5lTmdGc1QzM19JWDY?oc=5" target="_blank">Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning</a>&nbsp;&nbsp;<font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>
<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTFAzZG1MX01aWXJ0MkpDUEJuZlRpal9oWHo1blBNRE5Ub0RERXpqVDVjZk5lUXNQX1NpMzh3Nm13SWRWUkZ6X0hqbUlJUGNtRTVv?oc=5" target="_blank">SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning</a>&nbsp;&nbsp;<font color="#6f6f6f">alphaXiv</font>
<a href="https://news.google.com/rss/articles/CBMiZkFVX3lxTE9PSjVkaGlXdHdpR0tGeHV2dFZtVXVwMm9ac2Vxd200a0hqdG40QmlzMlBsbEhDTnh6U1dGbTVxekt0NE9mR0QyMWZEWkh1OGIxMGlNQXN2djcydEI2LWtiMzZDNkJBZw?oc=5" target="_blank">SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments</a>&nbsp;&nbsp;<font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>
<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE11UjhHaUhpWE5XUDJlZ3pzZkVKN2F5b2otV3BnUFM4elNaa2RXVXZzdUkwOEFzSUZfNjhiM2Q3RG5ER25pRmltMl9jRFNsVEsxbjE4YUJyNW9NSlZULWdnQkdWdks?oc=5" target="_blank">MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision</a>&nbsp;&nbsp;<font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>
<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTFAxckpJR283WkFaMXJhMVRudVZZWFNaMkV3d1g5Y2hmU2VIaFdXS3kyTmdMUTRVOGRLNkxmSHZ5QmNtcjdpbkZHNzRlRmYtanRDcEMwWG1oQ1J2QUlwY2c?oc=5" target="_blank">FERRET: Refer and Ground Anything Anywhere at Any Granularity</a>&nbsp;&nbsp;<font color="#6f6f6f">Apple Machine Learning Research</font>
<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxNLXIzTkN6Nk55cXBnQ0VOZHlqRHoxd0dENlZBcDhZQ0FaaGtDVEIxMG1BTndFYm9Gb01LemljUUVVUGxYbEJmeVZUMlcwc0NmQW9RRlRyWDA1QzQ0ZDFtYjVVRUtVdEVicnRuUlpVWjgwRGN5VXl1VFZKRFVSc2huMnhUdnZ3RUJvQU5NODBfeGxYOEZuWmJPSjZTeE5LZHBwVUE?oc=5" target="_blank">Language writ large: LLMs, ChatGPT, meaning, and understanding</a>&nbsp;&nbsp;<font color="#6f6f6f">Frontiers</font>
<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1ncWRHdlZCYi1uSi1ya0lMQ05jX3hDd0E4ejk4aFhtelVZb0xYNmNoNnBkejdENEZsSGd3TExfa3c4ZXE5WW5NWUJpMHhIZDBGQk91aTZLS2xNTHBIQkFtcURPX18?oc=5" target="_blank">Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning</a>&nbsp;&nbsp;<font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>
<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE51UUE3V0J2eVM2LW9KT1B1V0FKTThKc1EwM1Q4bVlYTzBMQ3BjOTFxMlpRcWNtelpNMHdzUkhkTzdQX01VaGZadjNkUGdEa1RpVEo2NG1nT2QweXc2a3dRdmZINjg2Wk9FUU1Meg?oc=5" target="_blank">Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy</a>&nbsp;&nbsp;<font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>
<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1lcTh4OVRkWi0wU1VnYXNXbnhaaDNjR0ctSlgwcGZlUkMyRW9tblZVcnhLU3VpMmFsSE9uMnFwTGRRX2JtdklQS3psaFdIWEhrMjZ1SnBmNkRJaWc2clY1TDV4WU0?oc=5" target="_blank">Zero-Shot Open-Vocabulary Human Motion Grounding with Test-Time Training</a>&nbsp;&nbsp;<font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>
<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE9NNXV1RllXTWhkT0xuYVh2SW45d1ZYcE91RUJXbnczeEtqMWQtZUd4ZGV2S3habmlYaDRlbU1TTUNCTC0tNURIQkUtMkRfMmRDMnhSSF9sd1hHdUlaYWpGLVdXV2dPeVhV?oc=5" target="_blank">FACTS Benchmark Suite Introduced to Evaluate Factual Accuracy of Large Language Models</a>&nbsp;&nbsp;<font color="#6f6f6f">infoq.com</font>
<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE9fcVFVdVUtSllFb0dqS0huRFZEU2Y5UUJpQWJ0Vm8xcDZmRlhHeHZwVWg3M1hUTDMzaFF3WnFDLVVHZVRSX3JscFR3dldWVzU1?oc=5" target="_blank">Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models</a>&nbsp;&nbsp;<font color="#6f6f6f">alphaXiv</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5xUG5jVFFlU2pPMnVfQlFvOXFpNzI0a2tIcUhRbTFpa0tqS0k4NEdlWWpHYWtOZFZiZzIyTXA3a2MzbVlQZ3Q0SE5uWXpXd2paeEo2NU9uTjVKT1dES2RV?oc=5" target="_blank">Visual cognition in multimodal large language models</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE83ZnJjcFh4T1htQ3ZKNHRiaUVYbjJPYnk0TlZfTklOc2hEYTk2cXctVWlvZUZ2VmNHMXVuTkxTV2FsZ01vMDdSRExvM3htM2Y2?oc=5" target="_blank">Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning</a>&nbsp;&nbsp;<font color="#6f6f6f">alphaXiv</font>
<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxONGRQTnA1aC02VHpaai0tSGpVRXBMTnE4Zl92VU9mOFpQR3FmZ2RnNG00emhmLVc2b2twcm9mQmgxZFpKTEFVY0lPc2lxR1AwTm9YTlo4WUg3dmJ0ODRKbTl4Z3lQZFc3TW55aFFNaTU0TU9wVjVDUzZ0ZFpPajh0OXd6OThXSEdTeGtkdzA1UFVnZXZK?oc=5" target="_blank">Grounding AI in reality with a little help from Data Commons</a>&nbsp;&nbsp;<font color="#6f6f6f">Google Research</font>