| [ | |
| { | |
| "id": 1, | |
| "title": "LLM Achieves Near Human-Level Summarization", | |
| "date": "December 1, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "A newly released LLM surpasses existing benchmarks in abstractive summarization, achieving BLEU scores comparable to human-written summaries on the Gigaword corpus.", | |
| "link": "https://arxiv.org/abs/2501.01234" | |
| }, | |
| { | |
| "id": 2, | |
| "title": "Vision Transformer Improves Zero‑Shot Object Detection", | |
| "date": "December 2, 2025", | |
| "readTime": "2 min read", | |
| "excerpt": "Researchers demonstrate that a Vision Transformer trained on a large image‑caption dataset can perform zero‑shot detection of unseen categories with 75% mAP on COCO.", | |
| "link": "https://arxiv.org/abs/2502.05678" | |
| }, | |
| { | |
| "id": 3, | |
| "title": "Reinforcement Learning Optimizes Energy‑Efficient Robot Navigation", | |
| "date": "December 3, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "An RL agent trained with a novel energy‑aware reward function reduces a mobile robot’s power consumption by 30% while maintaining navigation accuracy in complex indoor environments.", | |
| "link": "https://arxiv.org/abs/2503.09876" | |
| }, | |
| { | |
| "id": 4, | |
| "title": "NeurIPS 2025: LLMs for Real‑Time Language Translation", | |
| "date": "December 4, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "The winning submission at NeurIPS 2025 introduces an LLM capable of translating between 50 languages in real time with an average latency of 120 ms per sentence.", | |
| "link": "https://openreview.net/forum?id=NeurIPS2025Translation" | |
| }, | |
| { | |
| "id": 5, | |
| "title": "Hybrid Vision‑Language Model Enhances Image Captioning", | |
| "date": "December 5, 2025", | |
| "readTime": "2 min read", | |
| "excerpt": "Combining a CLIP backbone with a transformer decoder, the model achieves state‑of‑the‑art CIDEr score of 138 on the MS‑COCO test set.", | |
| "link": "https://arxiv.org/abs/2505.00456" | |
| }, | |
| { | |
| "id": 6, | |
| "title": "ICML 2025: Self‑Supervised Robotics Control Succeeds", | |
| "date": "December 6, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "A self‑supervised policy learned from raw video data controls a robotic arm to assemble complex objects without any labeled demonstrations.", | |
| "link": "https://openreview.net/forum?id=ICML2025Robotics" | |
| }, | |
| { | |
| "id": 7, | |
| "title": "Benchmarking LLMs on Scientific Reasoning Tasks", | |
| "date": "December 7, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "The Science Reasoning Benchmark reveals that large multimodal models outperform specialized scientific models on 8 out of 10 reasoning tasks.", | |
| "link": "https://arxiv.org/abs/2507.07890" | |
| }, | |
| { | |
| "id": 8, | |
| "title": "Vision‑Only RL Learns Human‑Like Grasping", | |
| "date": "December 8, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "An RL agent trained solely on RGB input learns to grasp a variety of household objects with success rates exceeding 85%, matching human performance in a controlled lab setting.", | |
| "link": "https://arxiv.org/abs/2508.06789" | |
| }, | |
| { | |
| "id": 9, | |
| "title": "OpenAI Releases Llama‑3.1 with 2‑Billion Parameters", | |
| "date": "December 9, 2025", | |
| "readTime": "2 min read", | |
| "excerpt": "OpenAI’s new Llama‑3.1 model incorporates a compact architecture that delivers comparable performance to GPT‑4 while being three times faster on inference.", | |
| "link": "https://openai.com/research/llama-3.1" | |
| }, | |
| { | |
| "id": 10, | |
| "title": "CVPR 2025: Multi‑Modal Sensing Improves Object Tracking", | |
| "date": "December 10, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "Integrating depth, thermal, and RGB data, the proposed tracker achieves a 12% increase in MOTA on the MOT17 benchmark.", | |
| "link": "https://openreview.net/forum?id=CVPR2025Tracking" | |
| }, | |
| { | |
| "id": 11, | |
| "title": "Reinforcement Learning Accelerates Protein Folding", | |
| "date": "December 11, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "An RL framework predicts protein tertiary structures with 94% accuracy on the CASP15 dataset, surpassing AlphaFold 2 in speed.", | |
| "link": "https://arxiv.org/abs/2511.00321" | |
| }, | |
| { | |
| "id": 12, | |
| "title": "Large‑Scale Vision‑Language Retrieval Outperforms Prior Models", | |
| "date": "December 12, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "Training on 10M image‑text pairs, the new model achieves top‑1 retrieval accuracy of 68% on Flickr30k, beating the previous state of the art by 4 points.", | |
| "link": "https://arxiv.org/abs/2512.04567" | |
| }, | |
| { | |
| "id": 13, | |
| "title": "Robotics Benchmark Introduces Real‑World Manipulation Tasks", | |
| "date": "December 13, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "The new benchmark features 20 unseen manipulation scenarios, encouraging research on generalization in embodied AI systems.", | |
| "link": "https://roboticsbenchmark.org/2025" | |
| }, | |
| { | |
| "id": 14, | |
| "title": "ICLR 2025: Diffusion Models for Text‑to‑Image Generation", | |
| "date": "December 14, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "A diffusion-based architecture generates photorealistic images from textual prompts with a Fréchet Inception Distance of 4.2 on the LAION‑400M dataset.", | |
| "link": "https://openreview.net/forum?id=ICLR2025Diffusion" | |
| }, | |
| { | |
| "id": 15, | |
| "title": "LLM Fine‑Tuned for Legal Document Analysis", | |
| "date": "December 15, 2025", | |
| "readTime": "2 min read", | |
| "excerpt": "Fine‑tuning a 6‑Billion‑parameter LLM on 1M legal contracts yields a 15% increase in clause extraction accuracy over baseline models.", | |
| "link": "https://arxiv.org/abs/2515.07812" | |
| }, | |
| { | |
| "id": 16, | |
| "title": "Vision‑Based RL Learns to Stack Boxes Efficiently", | |
| "date": "December 16, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "An RL agent trained with a vision encoder learns to stack varying sizes of boxes in 2.5 seconds per trial, outperforming human novices.", | |
| "link": "https://arxiv.org/abs/2516.04512" | |
| }, | |
| { | |
| "id": 17, | |
| "title": "Robotic Hand Achieves Dexterous Grasping via Meta‑Learning", | |
| "date": "December 17, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "Meta‑learning a policy across 100 object shapes allows a robotic hand to adapt to new objects in under 1 second.", | |
| "link": "https://arxiv.org/abs/2517.06789" | |
| }, | |
| { | |
| "id": 18, | |
| "title": "NeurIPS 2025: LLMs for Code Generation with Zero‑Shot Debugging", | |
| "date": "December 18, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "The top NeurIPS submission introduces a zero‑shot debugging capability that fixes 82% of syntactic and semantic bugs in generated Python code.", | |
| "link": "https://openreview.net/forum?id=NeurIPS2025CodeGen" | |
| }, | |
| { | |
| "id": 19, | |
| "title": "Vision‑Language Model Performs Multi‑Step Reasoning", | |
| "date": "December 19, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "A multimodal transformer solves 5‑shot reasoning tasks on the VQA‑Complex dataset, achieving 78% accuracy.", | |
| "link": "https://arxiv.org/abs/2519.02345" | |
| }, | |
| { | |
| "id": 20, | |
| "title": "Robotics Benchmark Adds Adversarial Perturbation Tests", | |
| "date": "December 20, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "The new benchmark challenges agents to maintain performance under sensor noise and simulated attacks, promoting robustness research.", | |
| "link": "https://roboticsbenchmark.org/2025/adversarial" | |
| }, | |
| { | |
| "id": 21, | |
| "title": "ICML 2025: Self‑Supervised Vision Transformer for Remote Sensing", | |
| "date": "December 21, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "A self‑supervised ViT trained on 50M satellite images achieves 92% land‑cover classification accuracy on the DeepGlobe dataset.", | |
| "link": "https://openreview.net/forum?id=ICML2025RemoteSensing" | |
| }, | |
| { | |
| "id": 22, | |
| "title": "LLM Generates Scientific Literature Review Summaries", | |
| "date": "December 22, 2025", | |
| "readTime": "2 min read", | |
| "excerpt": "An LLM trained on 10M research articles produces concise literature reviews with a ROUGE‑L score of 0.68 on the PubMed benchmark.", | |
| "link": "https://arxiv.org/abs/2522.04567" | |
| }, | |
| { | |
| "id": 23, | |
| "title": "Vision‑Based RL Solves Unstructured Navigation", | |
| "date": "December 23, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "An RL agent using a convolutional backbone navigates cluttered indoor scenes with a success rate of 89%, matching human navigation speed.", | |
| "link": "https://arxiv.org/abs/2523.06789" | |
| }, | |
| { | |
| "id": 24, | |
| "title": "Reinforcement Learning Optimizes Drone Flight Paths", | |
| "date": "December 24, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "A policy trained with curriculum learning reduces a drone’s energy consumption by 25% while completing delivery missions in 12% less time.", | |
| "link": "https://arxiv.org/abs/2524.01234" | |
| }, | |
| { | |
| "id": 25, | |
| "title": "OpenAI Releases Llama‑3.1 with 2‑Billion Parameters", | |
| "date": "December 25, 2025", | |
| "readTime": "2 min read", | |
| "excerpt": "OpenAI’s new Llama‑3.1 model incorporates a compact architecture that delivers comparable performance to GPT‑4 while being three times faster on inference.", | |
| "link": "https://openai.com/research/llama-3.1" | |
| }, | |
| { | |
| "id": 26, | |
| "title": "CVPR 2025: Transformer‑Based 3D Reconstruction Improves Accuracy", | |
| "date": "December 26, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "A transformer encoder–decoder reconstructs high‑resolution 3D meshes from monocular images, achieving a 5% increase in IoU on the ShapeNet benchmark.", | |
| "link": "https://openreview.net/forum?id=CVPR20253D" | |
| }, | |
| { | |
| "id": 27, | |
| "title": "Robotics Benchmark Introduces Multi‑Robot Coordination Tasks", | |
| "date": "December 27, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "The benchmark now includes scenarios where multiple robots must cooperate to transport objects, encouraging research on decentralized control.", | |
| "link": "https://roboticsbenchmark.org/2025/coordination" | |
| }, | |
| { | |
| "id": 28, | |
| "title": "NeurIPS 2025: LLMs for Real‑Time Speech Translation", | |
| "date": "December 28, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "The winning entry at NeurIPS 2025 introduces an LLM that translates speech from 30 languages to 30 target languages with 90% BLEU in real time.", | |
| "link": "https://openreview.net/forum?id=NeurIPS2025Speech" | |
| }, | |
| { | |
| "id": 29, | |
| "title": "Vision‑Language Model Generates Multimodal Storytelling", | |
| "date": "December 29, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "A model generates narrated stories that include synchronized text, images, and audio, achieving a user satisfaction score of 4.7/5 on a crowdsourced test.", | |
| "link": "https://arxiv.org/abs/2529.07890" | |
| }, | |
| { | |
| "id": 30, | |
| "title": "Reinforcement Learning Improves Autonomous Driving Safety", | |
| "date": "December 30, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "An RL policy trained with a safety‑first reward function reduces collision rates by 18% in the CARLA simulation benchmark.", | |
| "link": "https://arxiv.org/abs/2530.04512" | |
| }, | |
| { | |
| "id": 31, | |
| "title": "ICML 2025: Self‑Supervised Language Model for Low‑Resource Languages", | |
| "date": "December 31, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "A self‑supervised LLM trained on 50M tokens from 15 low‑resource languages achieves a 12% improvement in downstream NLU tasks over baseline models.", | |
| "link": "https://openreview.net/forum?id=ICML2025LowRes" | |
| }, | |
| { | |
| "id": 32, | |
| "title": "Large Vision‑Language Model Effectively Understands Physical Causality", | |
| "date": "December 1, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "A multimodal transformer accurately predicts the outcome of physical interactions in 85% of test scenes, surpassing human baseline performance.", | |
| "link": "https://arxiv.org/abs/2501.06789" | |
| }, | |
| { | |
| "id": 33, | |
| "title": "Robotics Benchmark Adds Battery‑Life Evaluation", | |
| "date": "December 2, 2025", | |
| "readTime": "2 min read", | |
| "excerpt": "The new metric assesses how long a robot can operate autonomously under continuous task load, promoting energy‑efficient designs.", | |
| "link": "https://roboticsbenchmark.org/2025/battery" | |
| }, | |
| { | |
| "id": 34, | |
| "title": "Vision‑Based RL Learns to Solve Rubik’s Cube", | |
| "date": "December 3, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "An RL agent using a deep vision encoder solves a Rubik’s Cube in under 15 seconds, demonstrating advanced manipulation planning.", | |
| "link": "https://arxiv.org/abs/2503.04567" | |
| }, | |
| { | |
| "id": 35, | |
| "title": "ICLR 2025: Diffusion Model Generates 3D Point Clouds", | |
| "date": "December 4, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "A diffusion process conditioned on text prompts generates realistic 3D point clouds with an IoU of 0.72 on the ShapeNet dataset.", | |
| "link": "https://openreview.net/forum?id=ICLR2025PointCloud" | |
| }, | |
| { | |
| "id": 36, | |
| "title": "Large LLM Enables Automated Medical Diagnosis", | |
| "date": "December 5, 2025", | |
| "readTime": "4 min read", | |
| "excerpt": "An LLM fine‑tuned on clinical notes predicts disease diagnosis with 91% accuracy on the MIMIC‑III dataset, reducing physician workload.", | |
| "link": "https://arxiv.org/abs/2505.07812" | |
| }, | |
| { | |
| "id": 37, | |
| "title": "Vision‑Language Model Excels at Multimodal Question Answering", | |
| "date": "December 6, 2025", | |
| "readTime": "3 min read", | |
| "excerpt": "The model achieves a 75% accuracy on the VQA‑Multimodal benchmark, outperforming prior approaches by 8 points.", | |
| "link": "https://arxiv.org/abs/2506.04512" | |
| }, | |
| { | |
| "id": 38, | |
| "title": "Robotics Benchmark Introduces Dynamic Object Manipulation Tasks", | |
| "date": "December 7, 2025", | |
| "readTime": "5 min read", | |
| "excerpt": "New tasks require agents to grasp and manipulate objects that move unpredictably, testing real‑world adaptability.", | |
| "link": "https://roboticsbenchmark.org/2025/dynamic" | |
| } | |
| ] | |