Search: “model-releases”

Stress-testing Alignment Midtraining

arXiv:2609.20412v1 Announce Type: cross Abstract: When aligning frontier models through post-training techniques, it is not possible to directly demonstrate all of the behaviours we want a model to ex

Stress Tests REVEAL Fragile Temporal and Visual Grounding in Video-Language Models

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arXiv:2602.11244v2 Announce Type: replace Abstract: Video-Language Models (VidLMs) achieve strong benchmark scores, yet these scores often hide whether models use the video at all. We show that VidLM

model-releasesarxiv-cs-cv

18 Sept 2026

Structured Four-Stage Legal Translation: From Natural-Language Traffic Rules to PROLOG

arXiv:2609.20334v1 Announce Type: new Abstract: Traffic regulations are written for human interpretation and therefore rely on shared background knowledge and flexible phrasing, which inherently intro

Subliminal Prompting Beyond Static Geometry: Causal Depth and Multi-Token Confounds

arXiv:2609.19149v1 Announce Type: new Abstract: Subliminal learning shows that language models can transmit a hidden trait through outputs that appear unrelated to it. One proposed explanation, token

Super interesting work from Zoom and colleagues. If you maintain a hand-built coding harness, there are some great insights here. (bookmark …

Super interesting work from Zoom and colleagues. If you maintain a hand-built coding harness, there are some great insights here. (bookmark it) They held the execution loop of a coding harness fixed a

model-releasesdair-ai--x

super pumped for this convo w/ @huntlovell and @allietheicon on all things langchain 🤝 jev

model-releasesharrison-chase--x

super pumped for this convo w/ @huntlovell and @allietheicon on all things langchain 🤝 jev Hot topic livestream: Learn about Jev A buzzy new model Jev, by @typesafeai, reports up to 200x faster infere

Support Thresholds, Not Algorithms, Limit Rare-Association Recovery in Co-Purchase Networks

arXiv:2609.20171v1 Announce Type: new Abstract: The support threshold of the Apriori algorithm involves a trade-off in conducting market basket analysis: the associations that occur frequently are not

Ternary Bonsai is a headless chicken

model-releasesr-localllama

Ternary Bonsai 2 27B Tried it out and was excited. Gave it a prompt 'create a 3d little planet globe where I (player can walk around) and it has all these biomes to explore, the globe doesn't have to

Testing same face with AI models

model-releasesr-stablediffusion

Tried the same detailed face prompt on a pile of models and in my Opinion KREA beats paid models Wanted something more real than the usual AI “pretty girl.” Same fictional character, same prompt, grid

TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data

arXiv:2609.20693v1 Announce Type: cross Abstract: Detecting phases of matter in general relies on identifying the correct order parameter - a task that remains notoriously difficult for unknown transi

The DevFest Community Workshop Experience: Building Real Agents Together

model-releasesgoogle-cloud-ai

This week we kicked off the DevFest season in North America at Google Hudson Square in New York City with 80 engineers packed into the room. Typical technical workshops hand you a finished repo, tell

The Missing Complement: State-Conditioned Minimal Sufficient Evidence for Coding Agents

arXiv:2609.20050v1 Announce Type: cross Abstract: A coding agent halfway through an issue has already read much of what a retriever ranks highest. Relevance is scored per passage, but sufficiency belo

The Neutral Mask: How Alignment Training Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

arXiv:2606.09735v2 Announce Type: replace Abstract: The ambition behind alignment training is to make large language models safe and useful. The primary mechanisms, reinforcement learning from human f

The Public Discourse Corpus (PDC): A Speaker-Attributed Dataset for Valence and Epistemic Modality with Target Speaker Participation

arXiv:2609.20232v1 Announce Type: new Abstract: We introduce the extbf{Public Discourse Corpus (PDC)}, the first dataset of public-figure interview speech jointly annotated for affective valence and e

This is crazy. In late July, 'three guys with Claude and Codex subscriptions' were able to use Opus 5 to access OAI auth tokens and gain wri…

model-releasesgary-marcus--x

This is crazy. In late July, 'three guys with Claude and Codex subscriptions' were able to use Opus 5 to access OAI auth tokens and gain write access to OpenAI's monorepo openai/openai over the course

This new Claude Code mods system looks pretty interesting - more example mods here: https://github.com/anthropics/claude-code/tree/main/mods

model-releasessimon-willison--x

This new Claude Code mods system looks pretty interesting - more example mods here: https://github.com/anthropics/claude-code/tree/main/mods AGENTS.md support is built off of Claude Code mods, our upc

TinyCNN: A 193K-Parameter Network for On-Device Plant Disease Detection, with a Cross-Dataset Robustness Diagnosis

model-releasesarxiv-cs-cv

arXiv:2609.20290v1 Announce Type: new Abstract: Detecting crop disease early is central to sustainable agriculture and food security under United Nations Sustainable Development Goal 2 (Zero Hunger),

To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals

arXiv:2609.20186v1 Announce Type: new Abstract: Speculative Decoding (SD) has significantly accelerated Large Language Model (LLM) inference, yet existing approaches face a fundamental tradeoff betwee

To Memories and Beyond: From Remembering to Knowing You across Long-Term Multimodal Personal Archives

arXiv:2609.19167v1 Announce Type: new Abstract: As AI systems evolve into personalized digital companions, a central capability is reasoning over a user's long-term personal history: not merely storin

Towards AI-enhanced control: a numerical technique for trajectory smoothing of a parallel robot for pancreatic surgery

model-releasesarxiv-cs-ro

arXiv:2609.20499v1 Announce Type: new Abstract: The paper presents a numerical approach for the end-effector trajectory smoothing of a parallel robot designed for minimally invasive pancreatic surgery

Towards Proactive Detection of User-Side Implicit Conflicts in Human-LLM Dialogue

arXiv:2609.19155v1 Announce Type: new Abstract: In Human-LLM dialogue, follow-up user utterances may implicitly conflict with earlier intents, leading the LLM to misinterpret user needs and generate i

TRACE: Accountable Agentic Retrieval for Source Discovery in Digital Archives

arXiv:2609.19897v1 Announce Type: new Abstract: Historical archives pose a difficult retrieval problem for retrievalaugmented generation systems: documents are OCR-degraded, heterogeneous across genre

Transformer fault diagnosis using an efficient simulation-driven variational quantum classifier with domain-aware feature encoding

arXiv:2609.20214v1 Announce Type: cross Abstract: Early transformer fault diagnosis is challenged by nonlinear dissolved-gas interactions, overlapping fault signatures, and limited labeled data, while

TripScore: Aligning LLMs for Real-World Travel Planning via Expert-Calibrated Reward

arXiv:2510.09011v4 Announce Type: replace Abstract: In our deployed travel-planning service, most users give minimal inputs or free-form requests rather than the structured constraint checklists assum

Trust, but Validate the Instrument: Auditing AI-Generated RTL Verification Plans on Authored Security-Regression Proxies

arXiv:2609.19844v1 Announce Type: cross Abstract: AI-generated RTL verification plans can satisfy a provider schema yet fail at the boundary to trusted execution. We present SecTB-RTL, an auditable fr

UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising

arXiv:2609.20630v1 Announce Type: new Abstract: Search advertising connects user intent with commercial content and plays a critical role in platform monetization. Recent systems typically align pretr

VakQA: 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. Spo

Viveka-Insight: a cross-lingual concept graph and citation-grounded retrieval resource over the complete works of Swami Vivekananda in English and Bengali

arXiv:2609.20303v1 Announce Type: new Abstract: Classical philosophical corpora pose three compounding challenges for language resources: they exist in several languages without parallel alignment, th

We are aware of a claim alleging unauthorized access to our systems. Following a thorough investigation, we have found no evidence to suppor…

model-releasesmistral-ai--x

We are aware of a claim alleging unauthorized access to our systems. Following a thorough investigation, we have found no evidence to support this claim and can confirm that our systems have not been

We benchmarked 24 LLMs against human writers on 475 creative writing prompts

model-releasesr-localllama

We just released the first version of our Creative Writing benchmark, comparing 24 LLMs against human writers across 475 writing prompts. Creative writing is subjective, so the rankings aren't meant t

we've been diving into how Jev can help with agents @sydneyrunkle will do a deep dive on this next week - come join!

model-releasesharrison-chase--x

we've been diving into how Jev can help with agents @sydneyrunkle will do a deep dive on this next week - come join! Hot topic livestream: Learn about Jev A buzzy new model Jev, by @typesafeai, report

What Does Privileged Information Add to On-Policy Self-Distillation?

arXiv:2609.20612v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) lets a language model learn from a frozen copy of itself that sees an answer or a worked solution. Giving the teacher

What studies isolate back-and-forth LLM interaction from one-way sharing and self-refinement [D]

model-releasesr-machinelearning

I'm trying to find out whether back-and-forth between two different LLMs improves task success beyond strong alternatives under a controlled resource budget — and I'd rather hear that it's already set

What Users Think of Generative AI: A Cross-Platform NLP Analysis of Trust and Friction in App Store Reviews

arXiv:2609.19151v1 Announce Type: new Abstract: Generative AI (GenAI) applications have achieved rapid consumer adoption, yet little large-scale research examines user-perceived quality, trust, and ad

When Do Language-Grounded Explanations Help? A Graph-Bottleneck for Farm Monitoring Interpretable Sheep Facial Pain

arXiv:2609.20427v1 Announce Type: cross Abstract: Automated pain recognition from facial expression could make continuous welfare assessment practical in sheep, but adoption depends on trust: a stockp

When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation

arXiv:2609.20511v1 Announce Type: new Abstract: We study length inflation in on-policy distillation (OPD), where student responses can become excessively long and even exhaust the generation budget. W

When Hiring Becomes Agent-Mediated: Evaluating Access and Recurrence in Two-Agent Resume Screening

arXiv:2609.19530v1 Announce Type: new Abstract: Hiring is bilateral: employers assess fit, while candidates present and defend evidence of their qualifications. Yet resume screening, the first gate, i

When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models

arXiv:2603.26556v3 Announce Type: replace-cross Abstract: Converting a pretrained Transformer into a more efficient hybrid model through distillation offers a promising approach to reducing inference

🔥: “While AI comes with danger, we should be sceptical of any narrative that conveys inevitability around its trajectory. AI systems do not…

model-releasesgary-marcus--x

🔥: “While AI comes with danger, we should be sceptical of any narrative that conveys inevitability around its trajectory. AI systems do not build their own data centres. They do not manufacture their

Why Pretraining Fails to Share Cross-Lingual Knowledge

arXiv:2609.19291v1 Announce Type: cross Abstract: Large Language Models (LLMs) have made remarkable progress in the processing and modeling of many languages. Yet, unlike human multilinguals, they exh

You can see the source for the mod here! https://github.com/anthropics/claude-code/tree/main/mods/agents-md

On September 18, 2026 Twitter user Thariq (@trq212) posted that the source code for the agents‑md mod is available on GitHub at https://github.com/anthropics/claude-code/tree/main/mods/agents-md. The

model-releasesthariq--x

ZeroHAT: Behavior-Conditioned Zero-Shot Human Activity Trace Generation

arXiv:2609.20310v1 Announce Type: new Abstract: Human activity traces record individuals' timestamped visits to points of interest and are essential for applications such as mobility prediction and ur

2Fast-2Lamaa: Large-Scale Lidar-Inertial Localization and Mapping with Continuous Distance Fields

model-releasesarxiv-cs-ro

arXiv:2410.05433v3 Announce Type: replace Abstract: This paper introduces 2Fast-2Lamaa, a lidar-inertial state estimation framework for odometry, mapping, and localization. Its first key component is

A Benchmark Suite and Ground-Truth Methodology for Formal Verification of IEC 61131-3 Ladder Diagram Programs

arXiv:2609.18994v1 Announce Type: new Abstract: We present the first benchmark suite for formal verification of Programmable Logic Controller (PLC) programs that combines controlled ground truth with

A Calibrated Instrument for Measuring How Inference Optimizations Affect Output Quality

arXiv:2609.18005v1 Announce Type: new Abstract: Large language model optimization is an active research area, spanning quantization of model weights, early-exit methods for skipping layers, and specul

A Heisenberg Lift Descriptor for Order Sensitive Online Handwriting Recognition

model-releasesarxiv-cs-cv

arXiv:2609.17565v1 Announce Type: new Abstract: Online handwriting recognition systems typically represent pen trajectories through fixed-length Euclidean shape descriptors that capture the spatial ou

A Unified Hierarchical Framework for Fine-grained Cross-view Geo-localization over Large-scale Scenarios

model-releasesarxiv-cs-cv

arXiv:2505.07622v2 Announce Type: replace Abstract: Cross-view geo-localization is a promising solution for large-scale localization problems, requiring the sequential execution of retrieval and metri

A Zeroth-Order Paradigm for LLM Preference Alignment

arXiv:2609.19144v1 Announce Type: cross Abstract: Direct preference alignment methods are widely used to align large language models (LLMs) with human preferences because of their computational and me