Every paper checked — nothing hidden
All papers
Every paper checked in the week of 12–18 Oct 2026 · LLM evaluation and benchmarks — nothing is hidden. Brief papers first.
All3,345In brief3More (on-topic)587Not relevant2,721Not assessed24Older45Could not confirm25Blogs with no paper54All blogs57
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| More Domains, No Gains? FLO: Fast-Slow Reciprocal Learning for Multi-Domain Graph Pre-training This paper studies why multi-domain graph pre-training fails to generalize and proposes a fast-slow reciprocal learning framework. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on graph pre-training paradigms, not LLM evaluation benchmarks. | |
| Random Fourier Features in Near-Linear Time This paper provides a tighter analysis enabling near-linear time computation of random Fourier feature maps with near-subgaussian concentration. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies kernel approximation theory, not LLM evaluation methods. | |
| CrossMean: Model Merging by Pairing Merged and Expert Activations This paper presents an activation-pairing method and selection criterion to improve closed-form model merging without retraining. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on model merging algorithms, not language model benchmarking. | |
| Formalizing Forgetting: Theory of Forgetting for Online Continual Learning This paper provides theoretical upper bounds on catastrophic forgetting during single-pass online continual learning under convex objectives. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on continual learning theory, not LLM benchmark assessment. | |
| Groups Don't Move as One: A Bregman Clustering View of Linearized Group Influence This paper uses Bregman clustering to address opposing member effects within linearized group influence estimates for machine learning models. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on theoretical influence functions, not LLM benchmark evaluation. | |
| Machine Learning-Based Prediction of Dengue Infection Using Clinical and Hematological Data from Bangladesh: A Comparative Analysis of Benchmark and Extended Prediction Models This paper evaluates standard machine learning models to predict dengue infection from clinical and hematological data in Bangladesh. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Examines tabular clinical models, not language model evaluation methodologies. | |
| Explore This! Beat and Downbeat Tracking From a Learned Tatum Grid This paper proposes a neural architecture that predicts a tatum grid to track musical beats and downbeats without dynamic Bayesian networks. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Investigates audio music tracking, not LLM evaluation frameworks. | |
| Sequence-Structured Decision Learning for Branch-and-Bound in Mixed-Integer Linear Programming This paper introduces a sequence-structured framework that models the global search trajectory to learn branching and node selection in branch-and-bound. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Concerns mixed-integer linear programming solvers, not LLM benchmark evaluation. | |
| Physics-informed random neural architectures on compact boundaryless multiply connected manifolds for random-operator models in machine learning and uncertainty quantification This paper develops stochastic physics-informed neural networks on manifolds to solve stochastic boundary-value problems with random operators. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on solving physics differential equations, not LLM benchmarking. | |
| Disentangling Marginal Capacity from Geometry in Optimal-Transport Label Transfer This paper analyzes error patterns from class frequency imbalances in optimal-transport label transfer and proposes matching target composition marginals. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies optimal transport label transfer under class imbalance, not LLM evaluation. | |
| World2TS: Real-World Event Context for Time-Series Forecasting This paper introduces a benchmark and dataset that pairs numerical time-series data with real-world event context for forecasting. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Introduces a context dataset for time-series forecasting, not LLM evaluation or benchmarks. | |
| Blending experimental electron density information to protein-ligand interaction This paper introduces a pre-trained vision transformer that combines experimental electron-density maps with atomic coordinates to model protein-ligand interactions. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on protein-ligand interaction models, not language model evaluation or benchmarks. | |
| Contrastive Linearized Laplace: Loss Geometry, Valid Repairs, and Reliable Cores This paper proposes a post-hoc framework based on Linearized Laplace approximation to quantify uncertainty across downstream tasks in contrastive learning. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Presents uncertainty quantification for contrastive embeddings, not LLM evaluation benchmarks. | |
| Pro-t-VAE: Closed-Form Student's t Mixtures for Robust Prototype Discovery This paper introduces a variational autoencoder using a closed-form Student's t mixture prior for robust unsupervised image prototype discovery. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on unsupervised image clustering via VAEs, not LLM evaluation or benchmarks. | |
| FDTD Model of Noise Pollution from an AI Data Center This paper models low-frequency sound propagation over surrounding topography to evaluate noise pollution caused by AI data centers. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies acoustic noise propagation of data centers, not LLM benchmarks or evaluation. | |
| Prediction with Expert Advice under Heavy-Tailed Losses This paper establishes regret bounds and develops adaptive algorithms for prediction with expert advice under heavy-tailed losses. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Presents theoretical bounds for online learning, not language model evaluation or benchmarks. | |
| Minimum Volume Optimal Transport for Multivariate Conformal Prediction This paper presents a framework to minimize prediction-set volume in multivariate conformal prediction by learning a Mahalanobis ground cost. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies multivariate conformal prediction theory, not LLM benchmarks or evaluation methods. | |
| Representation Drift in Continual Learning: LoRA versus N-gram Memory Measures representation drift across continual learning methods, finding n-gram memory updates cause less internal drift than LoRA. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies representation drift across training mechanisms, not benchmark methodology or saturation. | |
| An Algebraic Approach to Constrained K-means Clustering Uses Gröbner bases to simplify pairwise constraints and improve assignment efficiency in constrained k-means clustering. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on constrained k-means clustering, not LLM evaluation or benchmarks. | |
| BSIPipe: Bidirectional Sequence-Level Interleaved Pipeline Parallelism for Long-Sequence Large Language Model Training Introduces bidirectional interleaved pipeline parallelism to improve throughput and activation memory scaling in long-sequence model training. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Presents a pipeline parallelism training system, not an LLM benchmark or evaluation. | |
| CFG-Policy: Unified Diffusion Policy Learning Framework via Classifier-free Guidance Applies classifier-free guidance to diffusion policies to separate reinforcement learning exploration from core task capabilities. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Deals with reinforcement learning exploration methods, not LLM benchmark evaluation. | |
| Compositional Average Velocity Modeling for Efficient Diffusion Offline Reinforcement Learning Proposes a single-step generative policy for offline reinforcement learning by modeling average velocity instead of iterative denoising. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on offline reinforcement learning policies, not LLM evaluation or benchmarks. | |
| Exact Phase-Type Point Processes for Certified Measurement and Prediction of Event Streams Formulates a phase-type Hawkes process model with certified convex optimization to measure and predict financial event streams. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on financial market point processes, not LLM benchmarking or evaluation. | |
| Cross-Material Magnetic Core Loss Prediction via Operating-Condition Matching and Partial Optimal Transport Predicts magnetic core losses across materials using partial optimal transport to align operating conditions with limited data. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on magnetic core loss prediction, not LLM benchmarks or evaluation. | |
| Characterizing the Separability Gap in Prior-Data Fitted Networks Identifies how non-separable priors in prior-data fitted networks affect predictive accuracy under model misspecification. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Analyzes Bayesian prior-data fitted networks, not language model evaluation benchmarks. | |
| DiffGA: Steering Frozen Diffusion Models for Materials Design via Evolutionary Search Steers frozen diffusion models toward black-box materials design goals using evolutionary search along sampling trajectories. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on inverse materials design rather than evaluating language models. | |
| DisCo Algebra: Why Disintegration and Combination Are Not Inverses Introduces an algebraic framework proving information loss asymmetry when decomposing and reconstructing joint probability distributions. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on theoretical probability operads, not LLM benchmarks or evaluation. | |
| Conformal Sequential Decision Making With Cost and Sublinear Policy Regret Guarantees Develops an episodic sequential decision agent providing hard budget guarantees and sublinear regret bounds using conformal prediction. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on sequential decision algorithms, not LLM evaluation. | |
| Algorithmic Fairness Over Time: Advances & Prospects Presents a taxonomy and research roadmap for measuring algorithmic fairness over time in systems with feedback loops. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Surveys algorithmic fairness taxonomy, not LLM benchmark evaluation. | |
| Sparsity Saves Compute, Not Samples: Oracle Inequalities for Dense and Sparse Mixture of Experts Provides statistical error bounds for dense and sparse mixture-of-experts models, showing sparsity reduces compute rather than sample complexity. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Statistical study of MoE estimation, not LLM benchmarks. | |
| Information-Theoretic Foundations of Online Temperature Sampling Formulates an online sampling algorithm that adjusts temperature dynamically under cross-entropy budgets to prevent repetitive language model output. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies online temperature sampling theory, not LLM evaluation. | |
| The Optimal Decoder is Tilted Temperature Derives a verifier-tilted temperature sampling formula that optimizes pass-at-k metrics under entropy diversity and plausibility constraints. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies decoding temperature formulations, not benchmark evaluation design. | |
| Toward a Multimodal Foundation Model for Plasma State Reconstruction Reconstructs magnetic reconnection plasma states from sparse multimodal observations using a residual 3D U-Net architecture. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Applies U-Net to plasma physics, not LLM evaluation. | |
| On the Theoretical Limits of Learning Unconstrained Interatomic Potentials Demonstrates theoretical sampling failures and kinetic traps when training unconstrained machine-learned interatomic potentials from energy and force data. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Theoretical analysis of molecular potentials, not LLM benchmarks. | |
| Swarm Telepathy: Prefill-Free KV-Cache Transfer Across Families Enables prefill-free multi-agent communication across different language model families using cross-model key-value cache transfer. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Proposes KV-cache transfer, not benchmark evaluation methodologies. | |
| Anchors Enhance Controllability and Reasoning of Diffusion Language Models Uses reinforcement learning to place token anchors that guide text generation in frozen diffusion language models. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Proposes anchor-guided generation, not LLM benchmark evaluation. | |
| Random Feature Pruning for Multi-Class Classification Proposes a sequential selection algorithm to prune redundant random features for multiclass classification with theoretical guarantees. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies random kitchen sinks pruning, not LLM benchmarks. | |
| RELAGRAM: Recursive Latent Graph Model for the Capacitated Vehicle Routing Problem Introduces a recurrent latent graph transformer that solves capacitated vehicle routing problems by updating edge representations iteratively. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Applies latent recursion to CVRP, not LLM evaluation. | |
| Energy-Guided Learning for Heat Equation with Noisy Source: Optimal Estimation and Generalization Bounds Presents an energy-regularized regression method to learn heat equation solutions from noisy physical data and proves estimation error bounds. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on solving heat equations, not LLM benchmarks. | |
| Data-Topology Compatibility Enables Personalization in Decentralized Learning Analyzes how data and network structure alignment enables personalized model groups in decentralized learning without explicit personalization algorithms. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Analyzes decentralized learning theory, not LLM benchmark evaluation. | |
| When Dynamic Scaling Fails: A Scale-State Feedback Governs Recurrent-State Quantization in Linear-Attention and SSM LLMs This paper investigates error compounding and scale-state feedback mechanisms during recurrent-state quantization in linear-attention and state-space language models. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies recurrent state quantization failure, not LLM evaluation benchmarks. | |
| Sensor-Aware Joint Data Fusion and State Estimation under Sparse Multi-rate Distribution Grid Sensing This paper proposes a graph differential equation and transformer architecture to perform joint data fusion and state estimation in power distribution grids. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on power grid state estimation, not LLM benchmarks. | |
| Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models This paper introduces a graph-guided layer fusion method that identifies and merges functionally redundant non-adjacent layers to compress language models. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on depth compression, not benchmark evaluation design. | |
| LexiCan: Lexicographic Canonicalization of Point Clouds for Machine Learning Applications This paper presents an invariant lexicographic canonicalization method to resolve rotation and permutation ambiguities in 3D point cloud representations. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies 3D point cloud canonicalization, not LLM evaluation. | |
| Physics Foundation Models for Efficient Control of Fluid Flows This paper attaches reinforcement learning control heads to a pretrained physics foundation model for closed-loop fluid-flow control. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Studies fluid flow control, not LLM evaluation benchmarks. | |
| Game-Theoretic Reinforcement Learning based Topology-Agnostic Defense for Virtual Power Plants This paper proposes a game-theoretic reinforcement learning framework to defend virtual power plant resources without requiring grid network topology knowledge. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on power grid defense, not LLM benchmarks. | |
| DeltaNet-PC: Test-Time Memory Without Backpropagation Through Time This paper formulates sequential test-time memory updates as latent variables within a predictive coding framework without backpropagation through time. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Proposes a predictive coding architecture, not an evaluation benchmark. | |
| Non-Euclidean Gradient Descent Has Many Edges of Stability This paper studies stability thresholds and convergence boundaries of non-Euclidean gradient descent on quadratic objectives. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Theoretical optimization paper, not an LLM benchmark. | |
| Zeroth-Order Fine-Tuning of LLMs in Learnable Low-Rank Subspaces This paper proposes a zeroth-order fine-tuning method for language models that optimizes within task-adaptive learnable low-rank subspaces. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Zeroth-order optimization method, not an LLM benchmark. | |
| Explicit Bounds on Hoffman Constants for Sparse Polyhedral Regularizers This paper derives theoretical bounds on Hoffman constants to analyze the conditioning and convergence of sparse regularized optimization problems. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Pure mathematical optimization theory, not an LLM benchmark. | |
| ObsSpec: Accelerating Agentic Reinforcement Learning with Observation Speculation This paper introduces an observation speculation framework using small world models to accelerate reinforcement learning rollouts for tool-using agents. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Inference acceleration method, not an LLM benchmark. | |
| Correlation-Aware Reconstruction for Multivariate Time Series Anomaly Detection This paper introduces a dual-latent variational autoencoder that separates temporal dynamics from cross-sensor correlations for time-series anomaly detection. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Time series anomaly detection, not LLM evaluation benchmarks. | |
| Imperfect Verifiers, Exact Targets: Inference-Time Scaling for Continuous Generation This paper introduces an inference-time scaling method using paired denoising and renoising to sample from target distributions despite imperfect verifiers. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Inference-time sampling algorithm, not an LLM benchmark. | |
| What a Data Release Must Preserve for Off-Policy Evaluation This paper derives theoretical conditions on what decision-time history data releases must retain to ensure valid off-policy evaluation. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Theoretical off-policy evaluation statistics, not LLM benchmark study. | |
| FragFlex: Fragment-Based Flexible Molecular Generation for Exploring Vast Chemical Space This paper presents a discrete diffusion model that operates at the fragment level to generate variable-sized molecular graphs. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Molecular generation diffusion paper, not LLM evaluation. | |
| FENAS: A Few-Shot Meta-Ensembling Framework for Efficient Neural Architecture Search with Synergized Zero-Cost Proxies This paper proposes a few-shot meta-ensembling framework that combines zero-cost proxies to rank neural architectures efficiently. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Focuses on neural architecture search, not LLM benchmarking. | |
| Deep Neural Mixed Models for Nonlinear Longitudinal Prediction with Subject-Specific Heterogeneity This paper presents a deep mixed model combining neural networks with trainable subject-specific effects for longitudinal data prediction. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Statistical longitudinal regression method, not LLM evaluation. | |
| Full Waveform Inversion with a Learned Preconditioner This paper uses a neural operator trained on reverse-time-migration images as a preconditioner to accelerate full-waveform inversion. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Geophysical inversion study, not an LLM benchmark. | |
| CoLA: Multi-VLA Coordination via Learned Adapters This paper introduces learned communication adapters and action heads to coordinate multiple vision-language-action robotic policies during collaborative tasks. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Presents multi-robot coordination architecture, not general LLM benchmarks. | |
| JSIR: An Audio-Aligned, Multi-Task Dataset of Jazz Standard Recordings This paper introduces an annotated audio dataset of jazz recordings for beat tracking, chord estimation, and music structure analysis. Preprint | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | Not relevant Music retrieval dataset, not an LLM evaluation benchmark. |
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