Generative Ai
OpenAI Just Pulled the Plug on Sora. Is This AI Stock the Biggest Winner?
OpenAI's promising text-to-video app is dead.
AI Tools & Products
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6 min
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Generative AI
Image, video, audio, and text generation
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Generative Ai
Inside OpenAI's decision to abandon Sora AI video app
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Reddit - Artificial Intelligence
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1 min
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Machine Learning
Accelerating science with AI and simulations
MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...
AI News - General
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10 min
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All Content
![[2602.22122] Probing the Geometry of Diffusion Models with the String Method](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Machine Learning
[2602.22122] Probing the Geometry of Diffusion Models with the String Method
This article presents a novel framework using the string method to explore the geometry of diffusion models, enhancing understanding and ...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.22061] Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model
The paper presents a novel chaotic quantum diffusion model for learning quantum data distributions, offering a more efficient and robust ...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.21873] GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task
The GFPL framework enhances federated learning by addressing data imbalance and communication overhead in resource-constrained vision tas...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.21677] Trie-Aware Transformers for Generative Recommendation
The paper introduces TrieRec, a trie-aware generative recommendation method that enhances Transformers by incorporating structural induct...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.21948] Bayesian Generative Adversarial Networks via Gaussian Approximation for Tabular Data Synthesis
This paper introduces GACTGAN, a Bayesian Generative Adversarial Network that utilizes Gaussian approximation for synthesizing tabular da...
arXiv - Machine Learning
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3 min
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Llms
[2602.21824] DocDjinn: Controllable Synthetic Document Generation with VLMs and Handwriting Diffusion
DocDjinn introduces a framework for generating synthetic documents using Vision-Language Models (VLMs), addressing challenges in data acq...
arXiv - Machine Learning
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4 min
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Llms
[2602.21593] Breaking Semantic-Aware Watermarks via LLM-Guided Coherence-Preserving Semantic Injection
The paper introduces a novel attack method, Coherence-Preserving Semantic Injection (CSI), that exploits vulnerabilities in semantic-awar...
arXiv - Machine Learning
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4 min
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Llms
[2602.21585] Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences
The paper presents Duel-Evolve, an innovative algorithm that optimizes large language model outputs at test time using pairwise self-pref...
arXiv - AI
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4 min
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Machine Learning
[2602.21565] Training-free Composition of Pre-trained GFlowNets for Multi-Objective Generation
This article presents a novel approach to using pre-trained GFlowNets for multi-objective generation without the need for additional trai...
arXiv - Machine Learning
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3 min
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Llms
[2602.21472] The Design Space of Tri-Modal Masked Diffusion Models
This paper introduces the first tri-modal masked diffusion model, pretrained on text, image-text, and audio-text data, analyzing its perf...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.21469] D-Flow SGLD: Source-Space Posterior Sampling for Scientific Inverse Problems with Flow Matching
The paper presents D-Flow SGLD, a method for source-space posterior sampling in scientific inverse problems, enhancing fidelity and uncer...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.21390] Defensive Generation
The paper 'Defensive Generation' presents a novel approach to creating generative models that are unfalsifiable based on observed data, e...
arXiv - Machine Learning
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3 min
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Llms
[2602.21317] Shared Nature, Unique Nurture: PRISM for Pluralistic Reasoning via In-context Structure Modeling
The paper presents PRISM, a model-agnostic system designed to enhance large language models (LLMs) by fostering pluralistic reasoning thr...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.21319] Uncertainty-Aware Diffusion Model for Multimodal Highway Trajectory Prediction via DDIM Sampling
The paper presents cVMDx, an advanced diffusion model for multimodal highway trajectory prediction, enhancing efficiency and accuracy in ...
arXiv - Machine Learning
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3 min
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Llms
[2602.10953] Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models
The paper presents SOAR, a novel decoding algorithm for Diffusion Language Models that adapts its search strategy based on model confiden...
arXiv - AI
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3 min
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Generative Ai
[2602.02137] DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations
DCoPilot is a hybrid framework utilizing generative AI to enhance policy adaptation in dynamic data center operations, ensuring efficient...
arXiv - Machine Learning
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4 min
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Nlp
[2602.02007] Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation
The paper introduces xMemory, a novel approach to agent memory systems that enhances retrieval by decoupling and aggregating semantic com...
arXiv - AI
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4 min
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Llms
[2601.19922] HEART: A Unified Benchmark for Assessing Humans and LLMs in Emotional Support Dialogue
The paper introduces HEART, a benchmark for evaluating emotional support dialogue in humans and LLMs, focusing on empathy and communicati...
arXiv - AI
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4 min
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Llms
[2601.17064] Between Search and Platform: ChatGPT Under the DSA
This article analyzes the classification of ChatGPT under the Digital Services Act (DSA), proposing it as a hybrid of search engine and p...
arXiv - AI
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3 min
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Llms
[2511.06899] RPTS: Tree-Structured Reasoning Process Scoring for Faithful Multimodal Evaluation
The paper presents the Reasoning Process Tree Score (RPTS), a novel metric for evaluating reasoning in Large Vision-Language Models (LVLM...
arXiv - AI
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4 min
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