News / #funding Tag Funding 500 articles archived under #funding · RSS Sign in to follow arXiv — NLP / Computation & Language research 13d ago MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models arXiv:2609.38543v1 Announce Type: new Abstract: Constantly evolving real-world knowledge necessitates models to be updated continuously. Especially in medicine, as clinical evidence changes over time, outdated knowledge can pose safety risks. Existing evaluations of knowledge… 32 arXiv — NLP / Computation & Language research 13d ago Training LLM Judges from Language Feedback via Position-Selective Self-Distillation arXiv:2609.38792v1 Announce Type: new Abstract: We study training LLM judges from natural language feedback, especially for subjective tasks where the verdict depends strongly on which evaluation criteria the judge invokes and how it weighs them. The dominant approach,… 19 arXiv — NLP / Computation & Language research 13d ago Evidence First, Arithmetic Second: A System Report and Failure Analysis for DocSem arXiv:2609.39013v1 Announce Type: new Abstract: EVICALC, our system for the DocSem shared task, achieved 8.61% joint accuracy on 1,730 tasks in the official final test evaluation. It reads a PDF, selects a passage, asks a language model to write an arithmetic expression, and… 34 arXiv — NLP / Computation & Language research 13d ago Beyond Text: LLM-Based Dimensional Emotion Evaluation in Multimodal Dialogue arXiv:2609.39072v1 Announce Type: new Abstract: Emotion recognition in conversation has been widely studied, but applying Large Language Models (LLMs) to continuous dimensional emotion evaluation in multimodal dialogue remains largely unexplored. We propose an LLM-based… 25 arXiv — NLP / Computation & Language research 13d ago RAIM: Robust Aggregation of Inexpensive Models for Hallucination Detection arXiv:2609.39229v1 Announce Type: new Abstract: Automatic evaluation of faithfulness increasingly relies on a large language model acting as a judge, yet the most reliable judges are proprietary frontier models, costly and ill-suited to high-throughput monitoring. We investigate… 6 arXiv — NLP / Computation & Language research 13d ago DuplexAct-Bench: Broadening Full-Duplex Speech Evaluation toward Proactive Interaction across Diverse Behavioral Requirements arXiv:2609.39446v1 Announce Type: new Abstract: Existing full-duplex speech benchmarks cover only subsets of real-time interaction behaviors, often under limited contextual conditions. We introduce DuplexAct-Bench, a bilingual benchmark that systematically covers six… 28 arXiv — NLP / Computation & Language research 13d ago Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering arXiv:2609.39975v1 Announce Type: new Abstract: This paper presents an overview of the fourteenth edition of the BioASQ challenge, organized in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2026. BioASQ is an international challenge series that supports… 30 Vercel — AI dev-tools 13d ago Laya decision model now available on AI Gateway, free through October 31 Laya from Convai Innovations is free to use on AI Gateway for 1 month through October 31, 2026 via Boundless . Laya is an evaluation/decision model that evaluates shared context against yes/no, choice, or scoring questions and returns structured answers with probabilities. For… 13 TechCrunch — AI news-outlet 14d ago Valor, Atreides, and Sequoia back AI startup Flow Engineering at $750M valuation Flow Engineering, which is bringing AI agents to hardware design, also landed Roelof Botha as an angel investor and board member. 29 The Information — AI news-outlet 14d ago Sydney Sweeney-Backed Novig Raised at $2 Billion Valuation Novig, a sports-only prediction market backed by Sydney Sweeney, has raised new funding at a $2 billion valuation, the Wall Street Journal reported, citing people familiar with the matter. Founded in 2021 by Harvard graduates Jacob Fortinsky and Kelechi Ukah, Novig only offers… 19 TechCrunch — AI news-outlet 14d ago AI voice startup ElevenLabs doubles valuation to $22B The $300 million employee tender was co-led by Wellington and T. Rowe Price. 25 ElevenLabs official-blog 14d ago ElevenLabs valuation increases to $22 billion fueled by enterprise demand for conversational agents We recently closed a $300 million employee tender offer that values ElevenLabs at $22 billion, double our valuation at our Series D in February. 16 The Information — AI news-outlet 14d ago Exclusive: GPU Cloud Provider GMI Raises $668 Million From Nvidia and Others GMI Cloud, a five-year-old provider of Nvidia chip servers to enterprises, said Wednesday it raised $668 million in equity and debt financing. The new fundraise indicates Nvidia is continuing to help smaller, upstart cloud providers, especially those that plan to boost Nvidia in… 19 arXiv — Machine Learning research 14d ago CADENCE: A Confidence-Adaptive Dual-Expert Network for Fast and Accurate Time Series Classification arXiv:2609.35929v1 Announce Type: new Abstract: Time series classification (TSC) exhibits a sharp trade-off between accuracy and computational scalability. Meta-ensembles like HIVE-COTE 2.0 reach state-of-the-art accuracy but require extensive compute, whereas ultra-fast random… 24 arXiv — Machine Learning research 14d ago EnergyEminence: Source-Aware Environmental Calibration and Evaluation in a Physics-Grounded Grid Digital Twin arXiv:2609.36215v1 Announce Type: new Abstract: Power-grid digital twins must combine data-driven prediction with physically meaningful state evolution while preserving the provenance of environmental observations. This paper presents an early-stage EnergyEminence testbed that… 9 arXiv — Machine Learning research 14d ago PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States arXiv:2609.36315v1 Announce Type: new Abstract: Wildfires are an increasing hazard to ecosystems, air quality, and human systems, creating a growing need for datasets that support systematic development and evaluation of models for predicting fire spread across diverse… 29 arXiv — Machine Learning research 14d ago PDE-OBS: Controlled Evaluation Across Observation Patterns arXiv:2609.36521v1 Announce Type: new Abstract: Physical-field reconstruction and forecasting depend on both measurement density and spatial layout, yet evaluation under a single observation pattern does not characterize performance when that pattern changes. We introduce… 29 arXiv — NLP / Computation & Language research 14d ago Automated Evaluation of Multi-Turn Dialogues in In-Car Conversational Assistants arXiv:2609.35812v1 Announce Type: new Abstract: In-car conversational assistants (ICAs) are increasingly integrated into vehicles to support route planning, vehicle control, and information access. Ensuring their reliability is challenging due to multi-turn interactions, the… 26 arXiv — NLP / Computation & Language research 14d ago How to Run Statistics over LLM Judges and Trust the Results: Calibrated Inference for Small-Sample AI Evaluation with evalstats arXiv:2609.35815v1 Announce Type: new Abstract: Researchers across academia increasingly base significance claims on LLM judge scores and small-sample AI evaluations. Yet without well-calibrated confidence intervals (CIs), hypothesis tests, and judge-bias corrections, such… 27 arXiv — NLP / Computation & Language research 14d ago PADM\'E: Preference Alignment Data Synthesis for Meta-Evaluation of LM Agent Evaluators arXiv:2609.36086v1 Announce Type: new Abstract: Language models are frequently employed to evaluate other language models. An LM evaluator scoring agentic behaviors across multiple criteria is valuable, provided that its decisions align with human judgment. We call the problem… 16 arXiv — NLP / Computation & Language research 14d ago Training LLMs to Verbalize Evaluation Awareness arXiv:2609.36316v1 Announce Type: new Abstract: Evaluation awareness (EA) can cause large language models (LLMs) to behave differently during audits than in deployment, yet measuring and accounting for EA remains challenging. We introduce verbalization training (VT), a method… 36 arXiv — NLP / Computation & Language research 14d ago DeepRewind: Predicting and Repairing Premature Commitments in Deep Research Agents arXiv:2609.36344v1 Announce Type: new Abstract: Deep-research agents conduct long-horizon investigations through iterative search, evidence evaluation, belief revision, and synthesis. However, they may commit to claims before sufficient evidence is available, causing later… 38 arXiv — NLP / Computation & Language research 14d ago Benchmarking Automatic Speech Recognition Tools for Iberian Languages arXiv:2609.36920v1 Announce Type: new Abstract: Comprehensive evaluations of automatic speech recognition (ASR) for Iberian languages remain limited, and low-resource languages, biases, and efficiency trade-offs are underexplored. We benchmark eleven systems, ten open-weight… 38 arXiv — NLP / Computation & Language research 14d ago Dating the Model: Hidden Dates in System Prompts Affect LLM Evaluation arXiv:2609.36931v1 Announce Type: new Abstract: Reproducibility is essential for scientific research, yet prior work shows that LLM outputs vary with hardware and batching. We identify an overlooked factor: the hidden injection of the current date into system prompts, which… 8 arXiv — NLP / Computation & Language research 14d ago CypherTurn: A Multi-Turn Benchmark for Conversational Text-to-Cypher Evaluation and the Autonomy Divergence arXiv:2609.36987v1 Announce Type: new Abstract: Graph databases are increasingly queried through natural language, yet every existing benchmark evaluates isolated single-turn queries rather than the multi-turn sessions through which analysts actually work. We introduce… 25 Hugging Face official-blog 14d ago Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning Back to Articles a]:hidden"> Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning Published September 30, 2026 Update on GitHub Upvote - Eric Bezzam bezzam Steven Zheng Steveeeeeeen Eustache Le Bihan eustlb mrfakename mrfakename guest… 4 TechCrunch — AI news-outlet 15d ago OpenAI repotedly in talks to raise $30B round at $1.4T valuation The new round is anticipated to be the company's last before its delayed 2027 public debut. 8 TechCrunch — AI news-outlet 15d ago OpenAI reportedly in talks to raise $30B round at $1.4T valuation The new round is anticipated to be the company's last before its delayed 2027 public debut. 17 The Information — AI news-outlet 15d ago OpenAI in Early Talks to Raise $30 Billion Before an IPO OpenAI is in early talks with investors to raise a pre-IPO round and is targeting raising $30 billion, according to a person familiar with the matter. The ChatGPT maker could seek a valuation around $1.4 trillion, though it hasn’t signed a term sheet yet with any investor, the… 11 arXiv — Machine Learning research 15d ago Offline Policy Evaluation as a decision support tool for designing Adaptive Experiments arXiv:2609.30273v1 Announce Type: new Abstract: We investigate how historical data from fixed randomized experiments (A/B tests) can be used to inform the deployment of adaptive experiments based on contextual bandits. Given data collected under a static allocation, our goal is… 17 arXiv — Machine Learning research 15d ago Seasonal and Quantum-inspired Models for Neutron Monitor Time Series Forecasting arXiv:2609.30281v1 Announce Type: new Abstract: We present a focused and reproducible study of multi-horizon forecasting on the Lomnicky Stit neutron monitor (LMKS) time series. Our evaluation suite covers simple seasonal baselines, modern deep sequence models, and functional… 23 arXiv — Machine Learning research 15d ago When 10,000 Windows Are Not 10,000 Tests: Auditing Statistical Confidence in Sliding-Window Time-Series Classification arXiv:2609.30721v1 Announce Type: new Abstract: Sliding-window classifiers are often evaluated on thousands of overlapping test windows, even though neighboring predictions share observations and remain nested within recordings and subjects. Subject-disjoint evaluation prevents… 18 arXiv — Machine Learning research 15d ago Aligning One-Step Generative Models with Reward-Weighted Transport Distillation arXiv:2609.30840v1 Announce Type: new Abstract: One-step generators enable high-quality visual generation with a single network evaluation, but their post-training is difficult: general implicit generators provide neither tractable likelihoods nor denoising trajectories, and… 19 arXiv — Machine Learning research 15d ago Robust to Which Model Change? A Unified Evaluation of Robust Counterfactual Explanations arXiv:2609.30918v2 Announce Type: new Abstract: Robust counterfactual explanations promise recourse that still works after the model behind it changes. Whether they keep that promise depends on what the change is. A small perturbation of the parameters, retraining on new data,… 7 arXiv — Machine Learning research 15d ago SAGE: A sampling-aware global evaluation benchmark for species distribution modeling arXiv:2609.31082v1 Announce Type: new Abstract: Knowing where species occur is fundamental for biodiversity research and conservation. Species distribution models (SDMs) link species observations to environmental conditions to estimate their spatial distribution. However,… 30 arXiv — Machine Learning research 15d ago Bayesian Tensor Autoencoder with Physics-informed Predictive Prior for Multi-dimensional Time Series Anomaly Detection arXiv:2609.31157v1 Announce Type: new Abstract: Multi-dimensional time series, inherently tensorial, are common in practice. Despite great progress in time series anomaly detection, most existing methods are confined to uni-/multi-variate time series. When handling… 35 TechCrunch — AI news-outlet 16d ago Source: Inference provider Modal Labs closing in on $750M round at $15.75B valuation The new financing is expected to more than triples the AI infrastructure startup's valuation from just four months ago. 23 The Information — AI news-outlet 16d ago Exclusive: Instinct Hires Coatue’s Schwerin as Chief Business Officer Instinct, Silicon Valley’s hot AI assistant of the moment, is hiring Ben Schwerin, an investor at Coatue Management, as its first chief business officer. In Schwerin, the year-old company—which Monday said it raised $1 billion at a $10-billion valuation—is getting a hot consumer… 27 The Information — AI news-outlet 16d ago Valuations for Most Robotics Startups Will Fall By 2030, Says Vinod Khosla Vinod Khosla has been one of the most optimistic investors in robotics, predicting the field will have a “ChatGPT moment” in the next two years. But he is also warning that too much investment and lofty valuations in the hottest robotics startups mean a big shake-out is coming.… 33 TechCrunch — AI news-outlet 16d ago Viral AI agent Instinct raises $1B Series C at a $10B valuation Instinct has raised a $1 billion Series C, saying 'we're just getting started.' The company is now valued at $10 billion. 8 arXiv — NLP / Computation & Language research 16d ago SlideLab: Audience-Centered Scientific Slide Generation and Evaluation arXiv:2609.30294v1 Announce Type: new Abstract: Scientific presentations are more than summaries of research papers. They need to present the work in a coherent sequence, explain the main ideas clearly, and help the audience follow the presentation. We present SlideLab, a… 30 arXiv — NLP / Computation & Language research 16d ago Where Does Retrieval-Based Open-Ended Evaluation Fail? Automatic Taxonomy Induction from Long-Form Medical Answer Factuality Verification arXiv:2609.30467v1 Announce Type: new Abstract: Retrieval-based factuality evaluation, where LLM-generated claims are verified against evidence from authoritative medical corpora, has become the dominant paradigm for scalable hallucination detection in high-stakes clinical… 16 arXiv — NLP / Computation & Language research 16d ago CARGO: Context-Aware Retrieval-Gated Evaluation of Agentic AI in Production arXiv:2609.30471v1 Announce Type: new Abstract: Reference-based LLM-as-a-judge evaluation assumes the reference answer is the target. In deployed agentic systems that operate over dynamic entities (support cases, assets, accounts), the closest available reference typically… 4 arXiv — NLP / Computation & Language research 16d ago Inquesto Score: A reliability Protocol For Voice Agents arXiv:2609.30514v1 Announce Type: new Abstract: Voice agents are increasingly deployed in workflows where failed interactions can affect transactions, access, and other consequential outcomes, creating a need for reproducible and interpretable evaluation. We introduce Inquesto… 22 arXiv — NLP / Computation & Language research 16d ago Probing Stability-Plasticity Tradeoffs in Agent Memory through Cognitive Experimental Paradigms arXiv:2609.30558v1 Announce Type: new Abstract: Agent memory systems are increasingly used to maintain long-term user preferences, task states and evolving facts, but current evaluations often collapse memory behavior into final-answer accuracy. We introduce MemProbe, a… 23 arXiv — NLP / Computation & Language research 16d ago TRACE: Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding arXiv:2609.30670v1 Announce Type: new Abstract: Streaming video understanding requires models to interpret evidence as it arrives, yet current evaluations often report task scores without specifying when evidence becomes valid, how visual history is maintained, or how responses… 10 arXiv — NLP / Computation & Language research 16d ago Words Speak Louder Than Order: A Behavioral Evaluation of Gemma 4 arXiv:2609.30716v1 Announce Type: new Abstract: When a language model receives two conflicting documents as input, how does it decide which one to prioritize? Does it rely on how the sources are framed or the presentation order of the documents? We evaluated this behavior on… 33 arXiv — NLP / Computation & Language research 16d ago Evidence-Grounded Auditing of Identification Assumptions in Climate-Policy Causal Evaluations arXiv:2609.30867v1 Announce Type: new Abstract: Difference-in-differences (DID) studies are widely used to evaluate climate policy, but assessing the evidence supporting their identification assumptions remains challenging. We introduce ARGUS, a structured language-model… 8 Vercel — AI dev-tools 17d ago Ember-1 from Fireworks now available on AI Gateway Ember-1 from Fireworks is now available on AI Gateway . Ember-1 is a research preview reasoning model built on Kimi K3 for coding and agentic workflows. Fireworks reports approximately 40% fewer generated tokens than Kimi K3 at comparable quality across its evaluations. For… 13 arXiv — Machine Learning research 19d ago Leakage-Safe Machine Learning for Hydrogen Embrittlement Detection in 316L Stainless Steel: A Region-Held-Out Evaluation of Texture and Deep Features in SEM Micrographs arXiv:2609.28567v1 Announce Type: new Abstract: Scanning electron microscopy (SEM) is routinely used to characterize the microstructural changes caused by hydrogen embrittlement (HE) in structural steels. Machine learning can automate this characterization, but models are often… 6 Page 3 of 10 · 500 articles ← Newer Older →
