“Imagine a flock of birds in flight. There’s no leader. No central command. Each bird aligns with its neighbors—matching direction, adjusting speed, maintaining coherence through purely local coordination. The result is global order emerging from local consistency.”

“The article explains the paper's core concept: understanding forgetting as a decrease in accessibility, and its application in LLM-based access control.”

“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.”

“Article URL: https://spectrum.ieee.org/ai-coding-degrades”

“Social cues improve perceived outcomes and experiences, promote reflective information behaviors, and reveal limits of current LLM-based search.”

“The problem: Every new Codex session starts fresh. You end up re-explaining your codebase, conventions, and architectural decisions over and over.”

““Aren't you tired of having to re-explain 'what we talked about earlier' to the LLM every time you start a new session?””

“The results revealed promising performance, measured by response accuracy in device control (86%), memory-related tasks (97%), scheduling and automation (74%), and energy analysis (77%), while more complex cost estimation tasks highlighted areas for improvement with an accuracy of 49%.”

“The paper introduces the first Machine in Machine Learning (M1) as the underlying platform enabling today's LLM-based Agentic AI, and the second Machine in Machine Learning (M2) as the architectural prerequisite for holistic, production-grade B2B transformation.”

“R-Debater achieves higher single-turn and multi-turn scores compared with strong LLM baselines, and human evaluation confirms its consistency and evidence use.”

“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.”

“Preguss enables highly automated RTE-freeness verification for real-world programs with over a thousand LoC, with a reduction of 80.6%~88.9% human verification effort.”

“Data synthesis is the most effective technique for improving functional correctness and reducing code smells.”

“The article states that LLM applications are easy to make 'seem to work' but difficult to make 'work as expected,' leading to issues like 'it's not what I expected,' 'they said they built it to spec,' and strained relationships between the team and the vendor.”

“HaluNet delivers strong detection performance and favorable computational efficiency, with or without access to context, highlighting its potential for real time hallucination detection in LLM based QA systems.”

“During stable market conditions, LLM-weighted portfolios frequently outperformed sector indices... However, during the volatile period, many LLM portfolios underperformed.”

“While models achieve high semantic similarity scores (BERTScore F1: 0.81-0.90), all our factuality metrics reveal alarmingly low performance (LLM-based statement-level precision: 4.38%-32.88%).”

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

“The method 'combines vision-based frame processing with systematic state-space exploration using graph-structured representations.'”

“Using n = 3 examples best balances architectural diversity and context focus for vision tasks.”

“The results show that attention-based adversarial examples lead to measurable drops in evaluation performance while remaining semantically similar to the original inputs.”

“Prompt injection induces substantial changes in review scores and accept/reject decisions for English, Japanese, and Chinese injections, while Arabic injections produce little to no effect.”

“BOAD outperforms single-agent and manually designed multi-agent systems. On SWE-bench-Live, featuring more recent and out-of-distribution issues, our 36B system ranks second on the leaderboard at the time of evaluation, surpassing larger models such as GPT-4 and Claude.”

“Alpha-R1 reasons over factor logic and real-time news to evaluate alpha relevance under changing market conditions, selectively activating or deactivating factors based on contextual consistency.”

“MIRAGE-VC achieves +5.0% F1 and +16.6% PrecisionAt5, and sheds light on other off-graph prediction tasks such as recommendation and risk assessment.”

“By leveraging large language models (LLMs) to generate additional training data, we improved performance and demonstrated that morph resolution significantly enhances live streaming regulation.”

“Model belief explains and predicts ground-truth model choice better than model choice itself, and reduces the computation needed to reach sufficiently accurate estimates by roughly a factor of 20.”

“Prompt Choreography significantly reduces per-message latency (2.0--6.2$ imes$ faster time-to-first-token) and achieves substantial end-to-end speedups ($>$2.2$ imes$) in some workflows dominated by redundant computation.”

“A simple dynamic Graph Neural Network (GNN) is representative enough to outperform LLMs in debugging tabular log.”

“FasterPy combines Retrieval-Augmented Generation (RAG), supported by a knowledge base constructed from existing performance-improving code pairs and corresponding performance measurements, with Low-Rank Adaptation (LoRA) to enhance code optimization performance.”

“Keeping the conversation structure visible, allowing branching and merging, and suggesting patterns or ways to combine ideas deepened user reflective engagement.”

“The paper's core finding is that models fine-tuned with their prompt augmentation strategy maintain stable performance across diverse prompt patterns during inference and yield higher weighted F1 scores than those fine-tuned on a single prompt template.”

“Reformulated prompts most effectively improve alignment by reducing distribution concentration on socially acceptable answers and achieving distributions closer to ANES.”

“I built a 'World Tour' browser game using ONLY Gemini 3.0 Pro & CLI. No manual coding. No Backend.”

“DICE achieves 85.7% agreement with human experts, substantially outperforming existing LLM-based metrics such as RAGAS.”

“T3LLM achieves state-of-the-art performance over strong LLM-based baselines.”

“Deliberation significantly improves accuracy in scenario (2), reducing Log Loss by 0.020 or about 4 percent in relative terms (p = 0.017).”

“Our system achieved a 47.38% average score on Subtask-I and a 74.12% exact match F1 on Subtask-II, showing the effectiveness of step-wise refinement and ensemble strategies in rich, multimodal sentiment analysis tasks.”

“AnalogSAGE achieves a 10$ imes$ overall pass rate, a 48$ imes$ Pass@1, and a 4$ imes$ reduction in parameter search space compared with existing frameworks.”

“Only 68.3% of projects execute out-of-the-box, with substantial variation across languages (Python 89.2%, Java 44.0%). We also find a 13.5 times average expansion from declared to actual runtime dependencies, revealing significant hidden dependencies.”

“TrGLUE comprises Turkish-native corpora curated to mirror the domains and task formulations of GLUE-style evaluations, with labels obtained through a semi-automated pipeline that combines strong LLM-based annotation, cross-model agreement checks, and subsequent human validation.”

“SWE-Compressor reaches a 57.6% solved rate and significantly outperforms ReAct-based agents and static compression baselines, while maintaining stable and scalable long-horizon reasoning under a bounded context budget.”

“The paper proposes a context-sensitive conversational assistant framework grounded in mobile sensing data.”

“LLM-based approaches demonstrated superior robustness, achieving an overall F1-score of 85.5%, a 9% improvement over previous methods.”

“The framework achieves substantial keyword error rate (KER) reductions while maintaining sentence accuracy on general ASR benchmarks.”

“AgenticTCAD achieves the International Roadmap for Devices and Systems (IRDS)-2024 device specifications within 4.2 hours, whereas human experts required 7.1 days with commercial tools.”

“Embedding poisonous few-shot examples in the injected code can increase the attack success rate from 0% to 71.95%.”

“The paper proposes a Hierarchical Embodied Language Planner, called HELP, consisting of a set of LLM-based agents, each dedicated to solving a different subtask.”

“Are there known methodological practices to limit conversational adaptation in LLM-based qualitative analysis?”

“Recent LLM advancements are amazing, but Thinking (Reasoning) is necessary to get good output, and it often takes more than a minute from when a request is passed until a response is returned.”