Search: “models”

Native Geometry vs. Linear Recoverability: How Alignment Changes Platonic Scaling

arXiv:2610.22749v1 Announce Type: new Abstract: Do larger models learn increasingly similar representations of the same world? The Platonic Representation Hypothesis (PRH) predicts that they should, b

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OmniXRef: A Unified Framework for Multimodal Multi-Reference Video Editing

DGX agent

arXiv:2610.22744v1 Announce Type: new Abstract: Creative intent in video editing can be expressed through text instructions (e.g., 'remove the people'), image references (e.g., subject appearance), vi

model-releasesarxiv-cs-cv

19 Oct 2026

ParetoChat: An LLM-Based Interface for Interactive Multi-Objective Optimization

model-releasesarxiv-cs-cl

arXiv:2610.23062v1 Announce Type: new Abstract: Multi-objective optimization models are often deployed in settings where decision makers (DMs) must balance some conflicting criteria. In practice, howe

PASS-VLN: Passability-Aware Local-Command Vision-and-Language Navigation

arXiv:2610.22812v1 Announce Type: new Abstract: Reliable vision-and-language navigation (VLN) requires not only understanding instructions but also determining whether and how a robot can physically e

Qwen3.8-27B and Flash-Next on consumer hardware: engine numbers I could verify, and what they cost with 2026 RAM prices

I've been keeping a list of the engines that run Qwen3.8-27B and Flash-Next on consumer hardware, mostly to see where my own engine (capy-flash) stands. Sharing it because most numbers going around ar

Recommended work from Meta on harnesses for proactive agents. The ProPerAgent harness raises accuracy from at most 15% with standard memory …

Recommended work from Meta on harnesses for proactive agents. The ProPerAgent harness raises accuracy from at most 15% with standard memory baselines to 38%, without changing the model's weights. But

researchdair-ai--x

Rethinking Negative Prompting for Concept Suppression: Unconditional Anchoring and Localized Guidance

arXiv:2412.07658v3 Announce Type: replace-cross Abstract: Text-to-image diffusion models have rapidly transitioned from research prototypes to widely deployed tools. Along with their impressive capabi

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Agents

Robust Function Calling for LLM Agents Under Interface Drift

arXiv:2610.23342v1 Announce Type: new Abstract: Tool-augmented language-model agents rely on interface text: tool descriptions, argument schemas, and the candidate tool list shown at inference time. T

agentsarxiv-cs-ai

The Cognitive Cost of LLM Writing: A Reading-Time Comparison with Human Text

arXiv:2610.23715v1 Announce Type: new Abstract: Although linguistic differences between human-written and Large Language Model (LLM)-generated texts have been extensively studied, their implications f

researcharxiv-cs-cl

ToPA: Block-wise Toeplitz Adaptation for Expressive and Efficient Fine-Tuning

arXiv:2610.22883v1 Announce Type: new Abstract: Parameter-Efficient Fine-Tuning (PEFT) has emerged as a prevalent strategy for adapting large pre-trained models. Among PEFT techniques, reparameterizat

Towards Robot Skill Learning and Adaptation with Gaussian Processes

arXiv:2603.01480v2 Announce Type: replace Abstract: General robot skill adaptation requires expressive representations robust to varying task configurations. While recent learning-based skill adaptati

VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain

arXiv:2404.05659v4 Announce Type: replace-cross Abstract: Due to privacy restrictions, there's a shortage of publicly available speech recognition datasets in the medical domain. In this work, we pres

Local Ai

Most successful MiniMax H3 reference-to-video prompt structure so far (3 img + 1 vid example)

local-air-stablediffusion

The official open-weights MiniMax H3 (Ref2VA) model was trained on a rigid six-section schema (subject_definitions, summary, retention_analysis, detailed_description, overall_soundscape, non_diegetic_

18 Oct 2026

DeepSeek releases V4.1-Flash-1017, an update it says offers 'stronger benchmark performance, faster task completion, and shorter outputs' than its predecessor (Saritha Rai/Bloomberg)

Saritha Rai / Bloomberg: DeepSeek releases V4.1-Flash-1017, an update it says offers “stronger benchmark performance, faster task completion, and shorter outputs” than its predecessor — DeepSeek relea

model-releasestechmeme

🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a…

model-releasesdeepseek--x

🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our

✈ DeepSeek-V4.1-Flash-1017 is on Ollama! US-based hosting with zero data retention. It's strong on agentic tasks while being cheaper per tas…

✈ DeepSeek-V4.1-Flash-1017 is on Ollama! US-based hosting with zero data retention. It's strong on agentic tasks while being cheaper per task. Try it on Ollama Cloud: ollama run deepseek-v4.1-flash:10

model-releasesollama--x

Qwen Flash Next quant and temp comparison - performance vs task time vs quality

Following a recent interesting post that challenges the performance of higher vs lower quants and generally advised sampling parameters (namely temp), I decided that I had too much free time on my han

A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems

arXiv:2603.25370v2 Announce Type: replace-cross Abstract: Probabilistic forecasts provide a principled representation of forecast uncertainty through predictive distributions. Directly propagating pre

A Quantum Machine Learning Approach to Content-Based Media Recommendation

arXiv:2610.21562v1 Announce Type: new Abstract: We use quantum machine learning techniques to develop a content-based media recommender system and evaluate its performance on TV programmes using textu

AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO

model-releasesarxiv-cs-cv

arXiv:2506.03371v2 Announce Type: replace Abstract: Recent advances in vision-language models (VLMs) have enabled accurate image-based geolocation, raising serious concerns about location privacy risk

BASIS: Evaluating Belief-Aware Solutions in Interactive Settings beyond Instructions

model-releasesarxiv-cs-cl

arXiv:2602.13832v2 Announce Type: replace Abstract: Large language model (LLM) agents are increasingly capable of carrying out complex, long-horizon tasks, yet effective assistance requires more than

Behavioral Forgetting Is Not Privacy in Machine Unlearning

model-releasesarxiv-cs-cl

arXiv:2610.21799v1 Announce Type: new Abstract: Machine unlearning aims to remove targeted information from large language models, but existing evaluations often measure forgetting only on a designate

Bias Mitigation in Audio-Enabled LLMs through Adversarial Training and Distillation Methods

arXiv:2610.21763v1 Announce Type: new Abstract: Audio-enabled large language models (AuLLMs) allow users to interact with them simply by talking to them, without the need for an intermediate transcrip

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Can LLMs Tell Stories Out of Order? A Corpus and Benchmark for Nonlinear Narrative Generation

arXiv:2610.21468v1 Announce Type: cross Abstract: Every story has two orders: the order in which its events happen and the order in which they are told. A story is nonlinear when the two differ. We in

Causal Syntax Circuits in CodeLMs: Budget and Probe Decide What Looks Localised

arXiv:2610.20683v1 Announce Type: new Abstract: Code models write Python when the prompt does not say which language to use. We ask a mechanistic question about that habit: is it produced by a small,

researcharxiv-cs-lg

Cross-Prompt Inference Mitigates Rare-Class Suppression in Imbalanced VLM Finetuning

arXiv:2610.21470v1 Announce Type: new Abstract: When a vision-language model is finetuned on class-imbalanced data, rare-class recall can fall well below the model's own zero-shot performance. In this

researcharxiv-cs-cv

De-Risking Robotic Welding for In-Space Metal Joining Through Physics-Grounded Digital Twins

arXiv:2610.21939v1 Announce Type: new Abstract: Growing interest in in-space servicing, manufacturing, and assembly has renewed attention on reliable metal joining for modular construction and on-orbi

DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents

arXiv:2610.21561v1 Announce Type: cross Abstract: Large language models (LLMs) deployed as conversational agents are increasingly expected to follow procedural logic. While factual hallucination has r

Local Ai

DST-Net: Decomposed Spatio-Temporal Network for Time Series Forecasting

arXiv:2610.21123v1 Announce Type: cross Abstract: Series decomposition has emerged as a widely acknowledged paradigm in deep time series forecasting models. However, existing approaches predominantly

local-aiarxiv-cs-ai

Dynamic ordering in sequence generation in Transformers: experiments on low-resource Tagging scenarios

arXiv:2610.21862v1 Announce Type: new Abstract: This paper introduces TagInsert, a Transformer-based model that challenges the common left-to-right (L2R) generation paradigm in Transformers, for seque

researcharxiv-cs-cl

Local Ai

Explaining the Roles of Experts in Mixture-of-Experts LLMs for Personalization

arXiv:2610.22127v1 Announce Type: cross Abstract: Personalization of Large Language Models (LLMs) is increasingly important for user-centric applications, yet prior methods mainly adapt dense LLMs, wh

local-aiarxiv-cs-ai

Exploring the Design Space of Permutation Diffusion LLMs

arXiv:2610.20635v1 Announce Type: cross Abstract: Permutation generation with language models requires both text-conditioned ranking and a global one-to-one assignment between candidates and output po

researcharxiv-cs-ai

Fast-VLA: You Only Think Once for Robot Manipulation

arXiv:2610.21389v1 Announce Type: new Abstract: Vision-language-action (VLA) policies commonly place a multi-billion-parameter model inside the feedback loop, repeatedly recomputing task context whene

Feature Elicitation for SAE Steering of Deceptive Behaviour in Small LLMs

arXiv:2610.20638v1 Announce Type: new Abstract: Research on deceptive alignment is becoming increasingly urgent as frontier-model capabilities advance and their risk of causing catastrophic harm incre

Fractional Power-of-Two Quantization for Efficient and Effective Multiplier-Free LLM Inference

arXiv:2610.21257v1 Announce Type: cross Abstract: Large Language Models (LLMs) demand efficient inference, where the multiply-accumulate (MAC) operations in linear projections dominate compute and ene

Tutorials

Full-Duplex Interaction with Speech, Expressions and Gestures

arXiv:2610.21452v1 Announce Type: cross Abstract: Human face-to-face conversation requires coordinating speech, gestures and expressions across both speaking and listening. We present ELLSA 2, an end-

tutorialsarxiv-cs-ai

I don't get the qwen 3.8 flash next hype

My experience is based on running Qwen 3.8 Flash Next UD-Q4_K_XL on 4x 3090's Compared directly to Qwen 3.8 27b Q8 it is not even close. To add to this, strata results were even worse than llama.cpp e

Lexical Reference Frames: Interpreting LM Residual Streams in Native Semantics

arXiv:2610.22169v1 Announce Type: new Abstract: The vocabulary of a language model is its native semantics: the embedding and the unembedding fix the meaning of a state at the two ends of the residual

researcharxiv-cs-cl

Agents

Mallea: Building, Steering, and Memorizing Worlds with Coding Agent

arXiv:2610.21283v1 Announce Type: new Abstract: Code world models represent world dynamics through explicit state and executable rules. We investigate how to coordinate object representations, behavio

agentsarxiv-cs-ai

Measuring the local shape of learning-rate transfer curves

arXiv:2610.21814v1 Announce Type: new Abstract: Understanding the learning-rate (LR) dependence of trained model performance is essential for better optimization of neural networks, but the appropriat

Memorilla: Latent Semantic Memory for LLMs

arXiv:2610.21375v1 Announce Type: cross Abstract: Memory enables large language models (LLMs) to use information beyond their parameters, such as past user conversations, long documents, or an agent's

Memory as Weights: Internalizing Long-Term History for Streaming Videos

arXiv:2610.22070v1 Announce Type: cross Abstract: Streaming vision-language models (VLMs) must continuously integrate information from the past while remaining responsive to current observations and u

Applications

Multi-task Neural Diffusion Processes

arXiv:2510.03419v3 Announce Type: replace-cross Abstract: Neural diffusion processes provide a scalable, non-Gaussian approach to modelling distributions over functions, but existing formulations are

applicationsarxiv-cs-ai

Neither True nor False: Do LLMs Represent Truth-Value Gaps in Plural Predication?

arXiv:2610.14438v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly being used to summarize and verify claims in critical sources that inform consequential decisions. Suc

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One Bias Score, Two Factors: How Mitigations Affect Option Bias in Multiple-Choice Evaluation

arXiv:2610.20993v1 Announce Type: new Abstract: Reordering multiple-choice options can change a model's answer, an effect studied as selection bias (a preference for certain option letters) and as ord

safetyarxiv-cs-cl

PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews

arXiv:2610.21046v1 Announce Type: cross Abstract: Peer review is under strain from the growth of submissions, and review comments written by humans or AI can misstate what a paper says. We introduce R

PriorityFEC: Deadline-Aware Streaming FEC for KV-Cache Handoff in Edge Multi-Agent Systems

arXiv:2610.21390v1 Announce Type: cross Abstract: Multi-agent large language model (LLM) systems are increasingly deployed at the edge to support complex tasks that require collaboration and informati

Qwen 27B - sacrificing context in order run better quants, pros and cons.

I was running Unsloth IQ4_XS for a while and while it provided me with a healthy 96K context on 20GB vram, I did notice all the issues it had during draft and all the time and local tokens wasted tryi