Rewardflow
βWe introduce RewardFlow, an inversion-free framework that steers pretrained diffusion and flow-matching models at inference time through multi-reward Langevin dynamics.β
What the smart people are recommending. 7867 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
βWe introduce RewardFlow, an inversion-free framework that steers pretrained diffusion and flow-matching models at inference time through multi-reward Langevin dynamics.β
βWe introduce LINE, a novel, training-free iterative approach tailored for open-vocabulary concept labeling in vision models.β
βwe study the applicability of Conditional Neural Processes (CNP) to the task of self-supervised multimodal action prediction in robotics.β
βTo address this, we propose OVS-DINO, a novel framework that revitalizes latent edge-sensitivity of DINO through structural alignment with the Segment Anything Model (SAM).β
βFirst, we release MiniF2F-Hard and FIMO-Hard, expert-reannotated Hard Mode variants of two widely-used ATP benchmarks.β
βWe introduce InstAP, an Instance-Aware Pre-training framework that jointly optimizes global vision-text alignment and fine-grained, instance-level contrastive alignment by grounding textual mentions tβ¦β
βSecond, to address this gap, we introduce Phantasia, a context-adaptive backdoor attack that dynamically aligns its poisoned outputs with the semantics of each input.β
βSNIP (Meidani et al., 2024), a contrastive pre-training model inspired by CLIP, advances LSO by introducing a multi-modal approach: aligning symbolic and numeric encoders in a shared latent space to lβ¦β
βThis paper reframes annotation as a measurement process and introduces a statistical framework for decomposing labeling outcomes into interpretable sources of variation: instance difficulty, annotatorβ¦β
βIn this paper, we propose a Newton-Schulz-based Riemannian Gradient Scheme (NS-RGS) for orthogonal group synchronization that significantly reduces computational cost by replacing the SVD or QR step wβ¦β
βIn symmetric binary Gaussian mixtures, the criterion recovers the critical diffusion time detected by the midpoint derivative of the score and agrees with the spectral criterion of Biroli, Bonnaire, dβ¦β
βDid you read the Ronan Farrow piece in The New Yorker about Sam Altman?β
βhttps://about.fb.com/news/2024/08/why-europe-should-embrace-open-source-ai-zuckerberg-ekβ
β# Open Source AI is the Path Forwardβ
βWe propose MM-WebAgent, a hierarchical agentic framework for multimodal webpage generation that coordinates AIGC-based element generation through hierarchical planning and iterative self-reflection.β
βWe propose a new perspective on policy optimization: rather than reweighting all samples by their importance ratios, an optimizer should select which samples are trustworthy enough to drive a policy uβ¦β
βWe introduce IRS (Incongruity-Resolution Supervision), a framework that decomposes humor understanding into three componentsβ
βso I have a new essay in the new Atlantis called the new new control society which is really about the how the internet is reshaping politics in our civilizationβ
βBlog post by Occupy Wall Streetβ
βWe introduce DiscoTrace, a method to identify the rhetorical strategies that answerers use when responding to information-seeking questions.β
βIn this paper, we propose K-Token Merging, a latent-space compression framework that merges each contiguous block of K token embeddings into a single embedding via a lightweight encoder.β
βHence, this paper proposes LArge Scale Small ODE (LASS)-ODE-Power, a learning framework for general-purpose time-domain prediction.β
βIn this work, we present QuantCode-Bench, a benchmark for the systematic evaluation of modern LLMs in generating strategies for the Backtrader framework from textual descriptions in English.β
βWe propose SpecGuard, a verification-aware speculative decoding framework that performs step-level verification using only model-internal signals.β
βIn this work, we propose XQ-MEval, a semi-automatically built dataset covering nine translation directions, to benchmark translation metrics.β
βTo address this limitation, we introduce DynAfford, a benchmark that evaluates embodied agents in dynamic environments where object affordances may change over time and are not specified in the instruβ¦β
βHence, we contribute a comprehensive dataset, \system, comprising scientific architecture images, their corresponding textual descriptions, and associated DOT code representations.β
βMoving beyond this, we propose \textit{IE-as-Cache}, a framework that repurposes IE as a cognitive cache to enhance agentic reasoning.β
βWe address this issue by introducing ConfGuide, a novel LtG approach that generates more succinct and targeted guidance. To this end, it employs conformal risk control to select a set of outcomes, ensβ¦β
βIn this paper, we present a hybrid approach that combines Large Language Models (LLMs) with three newly created and curated vocabularies to detect and explain hate speech in English, French, and Greekβ¦β
βThis paper introduces the LLM fallacy, a cognitive attribution error in which individuals misinterpret LLM-assisted outputs as evidence of their own independent competence, producing a systematic diveβ¦β
βIn this paper, we recast LLM unlearning as an asymmetric two-task problem: retention is the primary objective and forgetting is an auxiliary.β
βWe propose RACER (Retrieval-Augmented Contextual Rapid Speculative Decoding), a lightweight and training-free method that integrates retrieved exact patterns with logit-driven future cues. This unificβ¦β
βWe introduce ClimateCause, a manually expert-annotated dataset of higher-order causal structures from science-for-policy climate reports, including implicit and nested causality. Cause-effect expressiβ¦β
βTo address these issues, we propose Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge (CURaTE).β
βWe introduce MedImageEdu, a benchmark for multi-turn, evidence-grounded radiology patient education. Each case provides a radiology report with report text and case images.β
βIn this comment, we show that the model introduced in Hess et al. Phys. Rev. Lett. {\bf 130}, 207001 (2023) fails the topological gap protocol (TGP)β
βfails the topological gap protocol (TGP) (Pikulin et al., arXiv:2103.12217β
βSo the TLDR is that these two papers drastically reduced the potential resources required to run an algorithm, what is called Shor's algorithm.β
βIn this work, we propose Clinical Uncertainty Risk Alignment (CURA), a framework that aligns clinical LM-based risk estimates and uncertainty with both individual error likelihoods and cohort-level amβ¦β
βIn this work, we propose a novel framework for efficient model aggregation called the early-stopped aggregation (ESA)β
βWe propose Generative Augmented Inference (GAI), a general framework that incorporates AI-generated outputs as informative features for estimating models of human-labeled outcomes.β
βTo reconnect these approaches, this state-of-the-art survey provides a structured perspective that maps existing XAI techniques onto the various stages of surrogate modeling workflows for design and eβ¦β
βOur method, which is called Batched Robust iHMM (BR-iHMM), balances adaptivity and robustness with two additional tunable parameters. Across limit order book data, hourly electricity demand, and a synβ¦β
βM. Aghaee et al., Phys. Rev. B 107, 245424 (2023)β
βTo resolve this, we propose HiP-LoRA, a spectrum-aware adaptation framework. ... Experiments on Llama-3.1-8B demonstrate that under matched budgets, HiP-LoRA drastically reduces pretraining degradatioβ¦β
βOur results are in striking contradiction with the model of J. L. Tallon and J. G. Storey [Phys. Rev. B 107, 054507 (2023)]β
βDickerson, Esmaeili, Morgenstern and Zhang (2023) denote the combination of these two constraints as doubly constrained fair clustering. They present algorithms whose guarantees depend on the best knoβ¦β
βTo address this, we introduce RoMem, a drop-in temporal knowledge graph module for structured memory systems, applicable to agentic memory and beyond.β
βThis paper reports an unexpected finding: in a deterministic hyperdimensional computing (HDC) architecture based on Galois-field algebraβ
βTwo recent manuscripts [arXiv:2502.19560, arXiv:2503.08944] engage with the topological gap protocol and its use in Phys. Rev. B 107, 245423 (2023) and Subsection S4.3 of the Supplementary Informationβ¦β
βTwo recent manuscripts [arXiv:2502.19560, arXiv:2503.08944] engage with the topological gap protocol and its use in Phys. Rev. B 107, 245423 (2023) and Subsection S4.3 of the Supplementary Informationβ¦β
βWe uphold the conclusions of Phys. Rev. B 107, 245423 (2023) and Nature 638, 651-655 (2025).β
βWe uphold the conclusions of Phys. Rev. B 107, 245423 (2023) and Nature 638, 651-655 (2025).β
βRelax supports R3 (Rollout Routing Replay)~\[1\] for MoE models with only 1.9\% overheadβ
βHere we introduce \textbf{Contrastive Reasoning Path Synthesis (CRPS)}, a framework that transforms supervision extraction...β
βWe propose using k-sparse autoencoders [Makhzani and Frey, 2013] to directly control sparsity, simplifying tuning and improving the reconstruction-sparsity frontier.β
βI would encourage you to take a look at the research paper that will give you all of the findings they had some interesting resultsβ
βI encourage you to look at the research supercluster enabled this team to dramatically speed up their training timesβ
βmore details about these results can be found in our upcoming paper for the isca conference industry track later this yearβ
βwe are publishing a blog post and paper with more details about code compose that said we are still early in our work in this space so we look forward to sharing moreβ
βwhich were proposed in [Berry and Mondragon 1987, Proc. R. Soc. A 412 53)β
βOur proposal can either be viewed as an implementation of the entropy computing paradigm presented in [Nguyen et. al. Communications Physics 1, 411, 8]β
βThis guarantee also depends on the currently best algorithm for DS-fair k-center given by Jones, Nguyen and Nguyen (2020).β
βIn this paper, we present Stored Embeddings for Efficient Reinforcement Learning (SEER), a simple modification of existing off-policy RL methods, to address these computational and memory requirementsβ¦β
βWe hope our proposed architecture serves as a reproducible reference for a minimalistic implementation of transformer based video generation models. Samples and code are available at https://wilson1yaβ¦β
βHere we give an extended review of the quasilinear reformulation of the Lovelock gravitational field equations in harmonic gauge presented in 1409.6656 [gr-qc].β
βIn this paper we introduce a new attack algorithm called SCAR, designed to fool classifiers of binary images. We show that SCAR significantly outperforms existing L0 attacks applied to the binary settβ¦β
βFull write-up:β
βOur paper βExponential Quantum Advantage in Processing Massive Classical Dataβ proves that quantum machines can solve common machine learning tasks using exponentially less memory than a classical macβ¦β
βThanks, Ingrid Fadelli, for this nice article about our recently published paper with @RobertHuangHY and @MSoleimanifar. The paper describes a surprisingly simple protocol for verifying that a many-quβ¦β
βThis one: https://journals.aps.org/prd/pdf/10.1103/PhysRevD.12.3845β
βThis paper introduces the User Data Sharing System (UDSS), a platform-agnostic framework designed to facilitate secure, privacy-first PII (Personally Identifiable Information) exchange between device β¦β
βThis paper presents the Spatio-Temporal Transformer for Long Term Forecasting (STT-LTF ), an extended framework that advances beyond purely temporal analysis to integrate spatial context modeling withβ¦β
βWe introduced PHASE (PHysically grounded Abstract Social Events), a large dataset of procedurally generated animations, depicting physically simulated two-agent interactions on a 2D surface.β
βI've discussed supply chain attacks, specifically in the context of the Node.js package manager, NPM ecosystem, in this 2022 update.β
βVentureBeat has a very good article explaining what happened to Axios.β
βFortifying the enterprise: 10 actions to take now for AI-ready cyber resilienceβ
βThere's there's another blog post that um perhaps you know about called the intelligence curse. Yes. Um which uh goes over some of this ground as well which which I recommend people look up.β
βyou know we published it in physical review letters and it got a lot of attention and I think we had a little article in Scientific American that was very proud ofβ
βI hope you read our paper when it's on archive soonβ
βthis essay called Keep Your Identity Small, I think, by by Paul Graham is his name.β
βBy the way, I want to call out Donald J McGraw's 1974 thesis "The Antibiotic Discovery Era" as a crucial source for this part of the video. McGraw somehow got unprecedented access to Eli Lilly's corpoβ¦β
βHow to become a supermanager with AI: https://www.lennysnewsletter.com/p/how-to-become-a-supermanager-withβ
βHow custom GPTs can make you a better manager | Hilary Gridley (Head of Core Product at Whoop): https://www.youtube.com/watch?v=xDMkkOC-EhIβ
βIn this work, we derive the non-Markovian dynamics between TLS and qubits during a SWAP-like two-qubit gate and the associated average gate fidelity for frequency-tunable Transmon qubits. This gate deβ¦β
βAnswering the question of existence of efficient quantum algorithms for NP-hard problems require deep theoretical understanding of the properties of the low-energy eigenstates and long-time coherent dβ¦β
βI just published "Governance, Part 2: Plutocracy Is Still Bad": https://t.co/LTMrsxFeuSβ
βyou can check out the paper that Michael Nielson had about this ideaβ
βIn this paper, we report the design and characterization of a prototype cryogenic CMOS integrated circuit that has been optimized for the control of transmon qubits. The circuit has been integrated inβ¦β
βQuantum Neural Networks (QNNs) are a promising variational learning paradigm with applications to near-term quantum processors, however they still face some significant challenges.β
βThis is an updated version of supplementary information to accompany "Quantum supremacy using a programmable superconducting processor", an article published in the October 24, 2019 issue of Nature. Tβ¦β
βSummary of changes since arXiv:1910.11333v1 (submitted 23 Oct 2019)β
β# GLoMo: Unsupervisedly Learned Relational tGraphs as Transferable Representationsβ
βWe introduce a fermion-to-qubit mapping defined on ternary trees, where any single Majorana operator on an $n$-mode fermionic system is mapped to a multi-qubit Pauli operator acting nontrivially on $\β¦β
βFirst of all, Center for Humane Technology, my nonprofit, has a solutions report that's coming out around the time of the film. It's a PDF. It has, I think, seven major solutions. I want everybody to β¦β
βHere we report on experimental observations of relaxation in such simulations, measured on up to 1440 qubits with microsecond resolution. By initializing the system in a state with topological obstrucβ¦β
βAccording to a new report by Citadel Research, software engineering job postings are rising rapidly.β
βThis video is actually very heavily inspired by this article, and I'm going to link to it in the description because I highly recommend that you read the whole thing. It is definitely worth your time.β
βHere my friend Jens Eisert and I assess the current status and the challenges ahead.β