“The project is experimental and not production ready but demonstrates how far autonomous coding agents can scale when run continuously.”

“The goal was to evaluate whether large language models can determine causal and logical consistency between a proposed character backstory and an entire novel (~100k words), rather than relying on local plausibility.”

“While generative AI and LLM-based technology options are being increasingly adopted by individuals for personal use, the same cannot be said for large enterprises.”

“Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts of the NLP toolkit.”

“I built this as a personal open-source project to explore how EU AI Act requirements can be translated into concrete, inspectable technical checks.”

“By generating naturalistic discourse, it overcomes the lack of discursive depth common in vignette surveys, and by operationalizing complex worldviews through natural language, it bypasses the formalization bottleneck of rule-based agent-based models (ABMs).”

“The core issue was that when two conflicting documents had the exact same reliability score, the model would often hallucinate a 'winner' or make up math just to provide a verdict.”

“I’m looking for 2–3 highly committed people who are genuinely serious about becoming Machine Learning Engineers... If you’re disciplined, willing to put in real effort, and want to grow alongside a small group of equally driven people, this might be a good fit.”

“FineTec achieves top-1 accuracies of 89.1% and 78.1% on the challenging Gym99-severe and Gym288-severe settings, respectively, demonstrating its robustness and generalizability.”

“The best solution approach for a practical path-based model reduces the IP gap by an average of 26.5% and 22.5% for the two largest instance groups, compared to solving the reformulation alone.”

“The framework dynamically adjusts resource allocation to balance performance, cost, and reliability objectives.”

“The framework reduces runtime from 84 to 48 hr on the same CPU platform and to 7 hr on an NVIDIA A100 GPU, while producing results consistent with those from the original pipeline.”

“The system achieved a background rate of 0.49 $\rm cpm/cm^2$ while retaining more than 55% of $^{90}$Sr beta signals within a 7 cm diameter detection region.”

“Tests on Arabic, Bangla, English, and Spanish datasets show that our approach consistently beats strong baselines.”

“RGTN achieves state-of-the-art compression ratios and runs 4-600$\times$ faster than existing methods.”

“The LLM-based extractor achieves higher accuracy with fewer labeled samples, whereas the Sentence-BERT with SVM classifiers provides significantly lower latency suitable for real-time operation.”

“BC-TAS achieves orders-of-magnitude improvement in outage probability and significant gains in energy efficiency compared to conventional MU-MIMO baselines.”

“The study focuses on atomic calculations employing noninteger Slater-type orbitals. Analytic derivatives of the energy functional are not readily available for these orbitals.”

“Memory representation plays a central role in consolidating spatial experience, with structured memories particularly sequential and graph-based representations, substantially improving performance on structure-intensive tasks such as path planning.”

“The results show accurate and robust map merging with low error, and the learned features deliver strong performance in both loop closure detection and relative pose estimation.”

“The analysis reveals how tracking error in the attitude loop influences the position loop, how model uncertainties affect the closed-loop system, and the practical pitfalls of the control architecture.”

“WM-SAR consistently outperforms existing deep learning and LLM-based methods.”

“MaRCA delivered a 16.67% revenue uplift using existing computation resources.”

“The paper constructs a general class of unique solutions to certain matrix equations and derives several equivalent properties of W-weighted DMP and MPD inverses.”

“For all \( n \geq \exp\exp(30.5) \), \( \mathrm{PD}_n \) is graphic.”

“The paper envisions up to 1 Tbps per link, aggregate throughput up to 10 Tbps via spatial multiplexing, sub-50 ns single-hop latency, and sub-10 pJ/bit energy efficiency over 20m.”

“TPI-AI outperforms standalone LightGBM and Bi-LSTM baselines, achieving macro-F1 of 0.9562, 0.9124, 0.8345 on highD and 0.9247, 0.8197, 0.7605 on exiD at T = 1, 2, 3 s, respectively.”

“GCA-ResUNet achieves Dice scores of 86.11% and 92.64% on Synapse and ACDC benchmarks, respectively, outperforming a range of representative CNN and Transformer-based methods.”

“MeLeMaD outperforms state-of-the-art approaches, achieving accuracies of 98.04% on CIC-AndMal2020 and 99.97% on BODMAS.”

“Community-IM++ achieves near-greedy influence spread at up to 100 times lower runtime, while outperforming Community-IM and degree heuristics.”

“HERO Sign achieves throughput improvements of 1.28-3.13, 1.28-2.92, and 1.24-2.60 under the SPHINCS+ 128f, 192f, and 256f parameter sets on RTX 4090.”

“CRMS reduces latency by over 14% and improves energy efficiency compared with heuristic and search-based baselines.”

“Hojabr integrates relational algebra, tensor algebra, and constraint-based reasoning within a single higher-order algebraic framework.”

“Yggdrasil achieves up to $3.98\times$ speedup over state-of-the-art baselines.”

“RoboPerform, the first unified audio-to-locomotion framework that can directly generate music-driven dance and speech-driven co-speech gestures from audio.”

“The paper highlights the development of a new surface segmentation algorithm that incorporates human input and the use of continuous visual feedback to refine the robot's learned model.”

“Experimental outcomes indicate better detection accuracy, shorter mitigation latency and reasonable build-time overhead than rule-based, provenance only and RL only baselines.”

“The paper introduces a computationally-embedded perspective that represents an embedded agent as an automaton simulated within a universal (formal) computer.”

“The study demonstrates hybrid training strategies can bring PINNs closer to FDTD-level accuracy and energy consistency.”

“MESA MIG outperforms caption only and single agent baselines in aesthetic quality, semantic consistency, and VA alignment, and achieves competitive emotion regression performance.”

“The combined analysis demonstrates that explainable AI(XAI) techniques can illuminate hidden failure modes, guide architectural refinements, and inform obstacle aware deployment strategies for learning based IK.”

“The approach secured 2nd place in the behavior-based emotion prediction task.”

“Flow2GAN delivers high-fidelity audio generation from Mel-spectrograms or discrete audio tokens, achieving better quality-efficiency trade-offs than existing state-of-the-art GAN-based and Flow Matching-based methods.”

“The accuracy rate, F1 score, recall rate and AUC of PFed-Signal are 0.887, 0.890, 0.913 and 0.957 respectively, which are higher than the baselines.”

“SGPS enables more accurate posterior sampling and reduces error accumulation, maintaining high reconstruction quality with fewer than 100 Neural Function Evaluations (NFEs).”

“The paper introduces a novel framework that leverages a pre-trained text-guided image-to-image translation model and image retrieval model to efficiently generate synthetic defect images.”

“The proposed ForCM method improves forest cover mapping, achieving overall accuracies of 94.54 percent with ResUNet-OBIA and 95.64 percent with AttentionUNet-OBIA, compared to 92.91 percent using traditional OBIA.”

“The paper discusses two correspondences: one based on Hamiltonian reduction and its quantum counterpart, and another involving non-trivial dualities like Fourier and Legendre transforms.”

“FLEX-MoE introduces client-expert fitness scores that quantify the expert suitability for local datasets through training feedback, and employs an optimization-based algorithm to maximize client-expert specialization while enforcing balanced expert utilization system-wide.”

“Many CoTs flagged as unfaithful by Biasing Features are judged faithful by other metrics, exceeding 50% in some models.”