News / #funding Tag Funding 500 articles archived under #funding · RSS Sign in to follow TechCrunch — AI news-outlet 26d ago Manus seeks $4B valuation in new $500M fundraise as it resumes independent ops Manus, which earlier this year had to break off a merger with Meta, is in discussions to raise $500M at a $4B valuation. 20 r/LocalLLaMA community 26d ago Prism-ML Bonsai 2 Joins Our Qwen3.8 Quantization Comparison Hey r/LocalLLaMA , Prism-LM recently released its Bonsai 2 QAT models based on Qwen3.8, and they quickly gained traction. In our evaluation, the models strike a strong balance between throughput and quality, reaching roughly 91.5% on our composite benchmark . We wanted to see… 24 r/LocalLLaMA community 26d ago China’s mysterious AI company Naive AI is valued at over $1.4 billion and could release its first open-source llm model as early as this month. According to people familiar with the matter, Naive AI, an AI startup founded in February this year by Tsinghua University professor Dai Jifeng, has completed three funding rounds totaling $400 million, bringing its valuation to more than $1.4 billion and earning it unicorn… 5 The Information — AI news-outlet 26d ago A Tsinghua Professor’s Stealth LLM Startup Hits $1.4 Billion Valuation A secretive Chinese AI model startup founded in February by a Tsinghua University professor is now valued at more than $1.4 billion, after raising $400 million in three funding rounds from investors including Tencent , according to a person with direct knowledge of the matter.… 11 arXiv — Machine Learning research 26d ago Bayesian Optimization with Rich Auxiliary Information via LLMs arXiv:2609.19437v1 Announce Type: new Abstract: Bayesian Optimization (BO) is widely used for optimizing expensive black-box functions, yet many real-world optimization problems contain substantially richer information than function evaluations alone. Examples include training… 9 arXiv — Machine Learning research 26d ago QUALS: Corpus Equilibrium for Universal Forecasting via Pattern Quantization and Learnability Synchronization arXiv:2609.20156v1 Announce Type: new Abstract: Ubiquitous time series data across diverse domains enables critical applications in areas such as transportation systems and power grids. Recently, training foundation models on massive datasets to achieve accurate zero-shot… 11 arXiv — Machine Learning research 26d ago When Does Retrieval Help Time-Series Forecasting? arXiv:2609.20193v1 Announce Type: new Abstract: Retrieval plug-ins supply a deep forecaster with information its lookback window cannot carry. Published evaluations report consistent gains, and each credits its own mechanism. We show that the benefit belongs instead to the… 29 arXiv — NLP / Computation & Language research 26d ago Evolution or Illusion? Rethinking Evaluation in LLM Evolutionary Search arXiv:2609.19799v1 Announce Type: new Abstract: LLM-driven evolutionary search finds programs by launching seeds and iterating each one. Papers report a single budget setting, usually one seed run for a fixed number of iterations, and rank methods from that one point. We show… 30 arXiv — NLP / Computation & Language research 26d ago V\={a}kQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering arXiv:2609.19879v1 Announce Type: new Abstract: Question answering has advanced rapidly with large language models, but predominantly for high-resource languages, in both text and spoken settings. Spoken question answering (SQA) benchmark for Telugu remains unexplored, and the… 11 arXiv — NLP / Computation & Language research 26d ago KoNeoBench: A Curated Evaluation Dataset for LLM Understanding of Korean Neologisms arXiv:2609.19916v1 Announce Type: new Abstract: Large language models (LLMs) are typically evaluated on static benchmarks, even though natural language constantly evolves through newly emerging words and meanings. Existing Korean benchmarks are centered on established vocabulary… 32 arXiv — NLP / Computation & Language research 26d ago HerHealthEval: Evaluating Multilingual and Register-Sensitive Understanding of Women's Health Communication arXiv:2609.20684v1 Announce Type: new Abstract: Large language models are increasingly used in healthcare communication, yet most evaluations emphasize response quality while assuming that the user's concern has been interpreted correctly. We introduce HerHealthEval, a… 8 arXiv — NLP / Computation & Language research 26d ago Harm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations arXiv:2609.20779v1 Announce Type: new Abstract: Safety evaluations for large language models rely on surface-form classifiers that report declining harm scores across model generations. We provide evidence that this methodology is systematically incomplete: explicit… 7 arXiv — NLP / Computation & Language research 26d ago What Do We Expect from LLMs? Mapping the Design of LLM Benchmarks arXiv:2609.19182v1 Announce Type: cross Abstract: Benchmarks are central to how progress in large language models (LLMs) is assessed and communicated. Yet model rankings alone reveal little about how evaluation requirements themselves are changing. The expanding variety of… 38 arXiv — NLP / Computation & Language research 26d ago EconSkills: Studying Skill Transfer and Retrieval for Web Agents on Live Economic Data arXiv:2609.19523v1 Announce Type: cross Abstract: Web agents often revisit the same sites, yet most evaluations discard the procedures learned in earlier successful interactions. We introduce EconSkills, a skill library and evaluation framework that distills verified… 13 arXiv — Machine Learning research 27d ago Disentangling Algorithmic Bias from Archival Artifacts: A Controlled Audit of Vision-Language Model Valuation in Metropolitan Museum Archives arXiv:2609.17572v1 Announce Type: new Abstract: Auditing vision-language models (VLMs) for societal bias requires distinguishing direct algorithmic valuation disparities from confounders embedded within archival metadata. In this study, we audit Contrastive Language-Image… 24 arXiv — NLP / Computation & Language research 27d ago Large Language Models Versus Physicians in Traditional Chinese Medicine: A Real-World Clinical Case Evaluation arXiv:2609.17544v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being explored for clinical applications, yet their assessment for real-world traditional Chinese medicine (TCM) practice remains limited We constructed a clinical case library… 33 arXiv — NLP / Computation & Language research 27d ago I code or AI code: A comparative evaluation of AI-rated scores in classroom observations arXiv:2609.18274v1 Announce Type: new Abstract: Classroom observations are widely recognized as a key tool for establishing benchmarks of education quality and guiding pedagogical improvement, yet they remain resource-intensive and dependent on trained observers. This study… 26 arXiv — NLP / Computation & Language research 27d ago DyMT-ESB: Dynamic Multi-Turn Evaluation of Social Bias in User-LLM Interactions arXiv:2609.18649v1 Announce Type: new Abstract: Warning: This paper contains examples of stereotypes and social bias. LLMs are increasingly used in interactive settings by the general public, making the evaluation of model behavior in multi-turn conversational scenarios… 28 arXiv — NLP / Computation & Language research 27d ago LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits arXiv:2609.18720v1 Announce Type: new Abstract: Learned quality estimation (QE) models such as COMETKiwi are widespread and work well for general machine translation evaluation. However, they are known to struggle on unseen domains, limiting their performance in a real-world… 7 arXiv — NLP / Computation & Language research 27d ago ReFigBench: Benchmarking Scientific Figure Reconstruction as Editable PowerPoint Artifacts arXiv:2609.18844v1 Announce Type: new Abstract: Multimodal coding agents are expected to turn visual inputs into usable artifacts, and they act through a harness, the layer of tools, context management, and execution environment around the model. Existing evaluations often… 21 arXiv — NLP / Computation & Language research 27d ago Reading Between the Lines: Can LLMs Discover the Question Behind the Text? arXiv:2609.19070v1 Announce Type: new Abstract: This paper introduces ``question archaeology'', a specific evaluation task focused on inferring the single, authentic "genesis question" that motivated the creation of a complete text. Distinct from question generation, which… 16 arXiv — NLP / Computation & Language research 27d ago Safety-Flag: A Unified Benchmark for the Reliability and Calibration of LLM Content Moderators arXiv:2609.19072v1 Announce Type: new Abstract: Large language models are increasingly used for content moderation, but most evaluations still report aggregate accuracy on individual benchmarks. We introduce Safety-Flag, which places seven widely used safety benchmarks… 31 arXiv — NLP / Computation & Language research 27d ago Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation arXiv:2609.19093v1 Announce Type: new Abstract: Radiologists follow heterogeneous reporting practices. Two radiologists examining the same image and identifying the same clinical findings might nevertheless compose superficially distinct reports, varying in terminology,… 9 arXiv — NLP / Computation & Language research 27d ago Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations arXiv:2609.19101v1 Announce Type: new Abstract: As models scale, reward hacking becomes more frequent, more sophisticated, and more consequential. Does it leave a telltale signature in model representations? This work analyzes how reward hacking is represented internally in… 38 The Information — AI news-outlet 28d ago Zipline in Talks to Raise Funds at $20 Billion Valuation Zipline, a startup making drones that can deliver small packages like meals and medical supplies, is in talks to raise new funds at a valuation of roughly $20 billion, according to two people with knowledge of the fundraise. The funding round, if it closes, would more than… 5 Latent.Space news-outlet 28d ago Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC We sit down with AIUC’s CEO on their Series A! 26 r/LocalLLaMA community 28d ago Apple May Return to Server Market With Nvidia Technology Apple is considering offering an AI server built around "M8" series chips and has discussed incorporating Nvidia networking hardware, The Information reports. The system would be sold to outside customers, potentially bringing Apple back into a business it left behind when it… 30 arXiv — Machine Learning research 28d ago A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator arXiv:2609.16066v1 Announce Type: new Abstract: To enable flexible and rapid aerodynamic performance evaluation in turbomachinery design, this paper proposes a panoramic performance prediction framework. Unlike most previous prediction models that directly predict the objective… 5 arXiv — Machine Learning research 28d ago LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing arXiv:2609.16155v1 Announce Type: new Abstract: This paper presents a novel framework leveraging Large Language Models (LLMs) to generate synthetic time series data for manufacturing processes. Motivated by the scarcity of labeled time-series data in real-world manufacturing… 32 arXiv — NLP / Computation & Language research 28d ago The record is part of the task: matched-record evaluation of text classifiers across maintenance, safety and recall reporting arXiv:2609.16267v1 Announce Type: cross Abstract: Many operational cases are documented more than once, at different workflow stages and for different purposes, yet model evaluations normally select one of these records before model comparison begins. We treat that selection as… 22 arXiv — Machine Learning research 28d ago A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids arXiv:2609.16744v1 Announce Type: new Abstract: The integration of renewable energy sources into the electrical grid introduces complex challenges in fault detection and coordination of grid recovery mechanisms. Traditional relay protection systems, which operate based on static… 10 arXiv — NLP / Computation & Language research 28d ago ImpossibleRubrics: Stress-Testing Generated Rubrics as Reward Signals arXiv:2609.16816v1 Announce Type: cross Abstract: Language model-generated rubrics are increasingly used as reward signals for rubric-based reinforcement learning, LLM-as-a-judge evaluation, and automated grading. Such rubrics are reliable only if they reward honest answers over… 35 arXiv — NLP / Computation & Language research 28d ago Comment on arXiv:2607.01233: Survivorship Bias in Published-Paper Baselines for Research-Idea Distributions arXiv:2609.15996v1 Announce Type: new Abstract: Chen, Zhao, and Cohan introduce a valuable distributional evaluation of LLM-generated research ideas. This comment raises a narrower identification concern: their human baseline consists of published papers, whereas the LLM… 35 arXiv — NLP / Computation & Language research 28d ago Are We Grading Properly? Understanding Failure Modes in Medical Benchmarks arXiv:2609.16023v1 Announce Type: new Abstract: Medical evaluation is shifting from static option-based questioning to realistic clinical scenarios with open-ended output modes. Grading these at scale naively, however, is expensive, and rubric-based evaluation has become the… 25 arXiv — NLP / Computation & Language research 28d ago Beyond the Name: Demographic Leakage in De-Identified R\'esum\'es and Evaluation Artifacts in LLM Bias Audits arXiv:2609.16501v1 Announce Type: new Abstract: De-identified r\'esum\'e screening assumes that redacting explicit fields prevents ethnocultural inference; however, recent audits attribute residual leakage to declared languages. We investigate whether eliminating language fields… 14 arXiv — NLP / Computation & Language research 28d ago Challenges of Auditing: Variability in Outputs of Large Language Models for Health arXiv:2609.16590v1 Announce Type: new Abstract: People increasingly use frontier AI models for health advice, but via different access modes (e.g., ChatGPT, ChatGPT Health, APIs) with varying settings. Here, we find systematic differences across access modes. Because evaluations… 29 arXiv — NLP / Computation & Language research 28d ago Japanese Stroke LLM Evaluation: A Conversational Benchmark for Safe Stroke Care in Japanese Using Large Language Models arXiv:2609.16739v1 Announce Type: new Abstract: Background: Large language models (LLMs) have achieved physician-comparable performance on multiple-choice medical knowledge examinations, but their capabilities in clinical history taking, urgency assessment, and safety remain… 18 arXiv — NLP / Computation & Language research 28d ago Right Tool, Right Job: Native-Language Evaluation, Tokenizer Sensitivity, and Methodological Findings from a French-Only BabyLM arXiv:2609.17435v1 Announce Type: new Abstract: We submit M\'eTRON-FR, a 125M GPT-2 pretrained on 92.47M words of French, to the BabyLM 2026 Strict track. It scores 85.97 +/- 0.17% on QFrBLiMP (a native Quebec-French benchmark of grammatical minimal pairs) and 62.80% on the… 25 arXiv — NLP / Computation & Language research 28d ago Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language Models arXiv:2609.16006v1 Announce Type: cross Abstract: Large language models (LLMs) increasingly serve users whose expectations are shaped by their cultural context, yet most cultural evaluations test what a model knows rather than how it behaves when giving open-ended… 5 arXiv — NLP / Computation & Language research 28d ago CLASH: Counterfactual Auditing of Lexical and Prosodic Reliance in Spoken Sarcasm Detection arXiv:2609.16582v1 Announce Type: cross Abstract: Spoken sarcasm detectors may exploit lexical content, prosody, or their interaction, yet conventional evaluation cannot reveal which cues drive their predictions. We introduce CLASH (Controlled Lexical-Acoustic Separation… 25 arXiv — NLP / Computation & Language research 28d ago LSREP: A Longitudinal State-Replay Protocol for Evaluating Conversational Memory, with ICE v2 as an Audited Local-First Architecture arXiv:2609.16730v1 Announce Type: cross Abstract: Conversational memory changes during use, so endpoint question answering alone cannot establish how a persistent state accumulates, ages, or incorporates revisions. We introduce LSREP, a Longitudinal State-Replay Evaluation… 33 The Information — AI news-outlet 28d ago AI Agent Startup Instinct in Talks for $10 Billion Valuation The startup behind personal AI assistant Instinct is in talks to raise $1 billion at a valuation of about $10 billion, a person with knowledge of the deal said. The Information reported earlier this month that the startup is looking to raise new funding as the invitation-only… 9 The Information — AI news-outlet 29d ago OpenAI in Early Talks for New Funding Round at $1.2 Trillion Valuation OpenAI has held early conversations with investors about a new funding round that could lift its valuation to $1.2 trillion or higher, according to people familiar with the conversations. The conversations come as OpenAI has pushed off a planned initial public offering to next… 33 TechCrunch — AI news-outlet 29d ago AEO startup Profound hits unicorn valuation, raises $180M Series D 7 months after last round Profound has raised a $180 million Series D at a $1.8 billion valuation, less than seven months after it raised a $96 million Series C. 21 Marcus on AI community 29d ago BREAKING: Secret US AI evaluation framework has been partly revealed Very partly 23 TechCrunch — AI news-outlet 29d ago Early Anthropic hire, former METR COO have found a way to rein in rogue AI agents Their startup, Artificial Intelligence Underwriting Company (AIUC) has raised $40 million in a Series A round led by Ribbit Capital, with participation from First Harmonic. 23 r/LocalLLaMA community 29d ago Dual AMD Radeon AI Pro R9700 or dual NVIDIA or RTX 3090. I’m building a dual GPU box. Originally the goal was 30b at FP8 or 70b at Q4. I planned to run two R9700’s, but I found a pair of NIB RTX 3090’s near me for $1600 each. Discount if I buy both. RTX 40/50 series are off the table. I would love an RTX PRO 6000, but that is also off… 16 arXiv — Machine Learning research 29d ago BudgetBench: A Budget-Tiered Protocol and Pilot Harness for Memory Strategy Evaluation in Local Large Language Model Agents arXiv:2609.13149v1 Announce Type: new Abstract: For local large language model agents, active context is a scarce resource: memory capacity, prefill latency, cache growth, and service objectives all constrain how many input tokens each call can afford. We present BudgetBench, an… 32 arXiv — Machine Learning research 29d ago A Three-Axis Stress Test of LLM vs Classical ML for Network Intrusion Detection under Distribution Shift and Adversarial Evasion arXiv:2609.13511v1 Announce Type: new Abstract: Large language models are increasingly benchmarked against classical machine learning for network intrusion detection (NIDS), almost always using same-dataset evaluation, and that protocol turns out to be incomplete. Evaluating… 19 arXiv — Machine Learning research 29d ago When Compliance Data Masquerades as Evaluation: Measurement Validity for Deployed AI Systems arXiv:2609.13642v1 Announce Type: new Abstract: We argue that a recurring failure in the evaluation of deployed AI systems occurs when data collected for operational monitoring or regulatory compliance are interpreted as if they were designed for comparative evaluation.… 33 Page 6 of 10 · 500 articles ← Newer Older →
