Search: “reasoning”

arXiv:2604.08941v1 Announce Type: new Abstract: Medical Vision Language Models VLMs suffer from two failure modes that threaten safe deployment mis calibrated confidence and sensitivity to question re

arXiv:2604.08585v1 Announce Type: cross Abstract: Cache fusion accelerates generation process of LLMs equipped with RAG through KV caching and selective token recomputation, thereby reducing computati

arXiv:2604.08703v1 Announce Type: cross Abstract: QoS-QoE translation is a fundamental problem in multimedia systems because it characterizes how measurable system and network conditions affect user-p

arXiv:2604.08570v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used for code generation, yet quantum code generation is still evaluated mostly within single frameworks

arXiv:2604.08592v1 Announce Type: new Abstract: Reservoir observers provide a data-driven approach to the inference of unmeasured variables from observed ones for nonlinear dynamical systems. While pr

arXiv:2601.02850v2 Announce Type: replace Abstract: Reinforcement Learning (RL) is a well-established framework for sequential decision-making in complex environments. However, state-of-the-art Deep R

arXiv:2604.08849v1 Announce Type: cross Abstract: Clinical trials are central to evidence-based medicine, yet many struggle to meet enrollment targets, despite the availability of over half a million

arXiv:2604.08597v1 Announce Type: cross Abstract: Extracting structured knowledge from unstructured data still faces practical limitations: entity and event extraction pipelines remain brittle, knowle

arXiv:2512.21334v2 Announce Type: replace Abstract: We present Streamo, a real-time streaming video LLM that serves as a general-purpose interactive assistant. Unlike existing online video models that

arXiv:2604.09547v1 Announce Type: new Abstract: Token pruning has emerged as a mainstream approach for developing efficient Video Large Language Models (Video LLMs). This work revisits and advances th

arXiv:2601.23045v2 Announce Type: replace Abstract: As AI becomes more capable, we entrust it with more general and consequential tasks. The risks from failure grow more severe with increasing task sc

arXiv:2604.09034v1 Announce Type: new Abstract: The rapid evolution of Large Language Models (LLMs) has significantly impacted the field of natural language processing, but their growing complexity ra

arXiv:2604.08945v1 Announce Type: new Abstract: Accurate object geometry estimation is essential for many downstream tasks, including robotic manipulation and physical interaction. Although vision is

This r/StableDiffusion post showcases a workflow for converting anime-style images into photorealistic outputs, directly comparing two AI image editing models: Klein 9B and Qwen Image Edit 2511. Qwen

arXiv:2604.08885v1 Announce Type: new Abstract: Transformers have had a profound impact on the field of artificial intelligence, especially on large language models and their variants. However, as was

arXiv:2604.08701v1 Announce Type: new Abstract: We introduce Unified Multimodal Uncertain Inference (UMUI), a multimodal inference task spanning text, audio, and video, where models must produce calib

arXiv:2510.06499v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have achieved remarkable success through imitation learning on vast text corpora, but this paradigm creates a tra

A Reddit post from r/ChatGPT where a user shares an example of ChatGPT successfully inferring meaning or intent from a vague or ambiguous prompt that lacked sufficient explicit context. The post likel

5 years ago, my little girl was secretly being groomed and transitioned at her public school. 4 years ago, she was still lost in a dark cloud, suicidal, identifying as a “boy” named Toby. Last night,

This r/MachineLearning thread discusses AI critic Gary Marcus's reaction to the Claude Code source leak, in which Anthropic accidentally included a 59.8 MB JavaScript source map file in version 2.1.88

A Reddit post on r/ChatGPT describes a situation where someone chose to hire a developer rather than purchasing a Claude subscription, only to find that the developer now wants to use Claude Max — Ant

Automated lint: 34 errors, 0 warnings, 3 info

MiniMax M2.7 is an enhancement of the MiniMax M2.5 model, built as a 230B-parameter Mixture-of-Experts (MoE) model with 10B active parameters per token and a 200K context length, designed for agentic

Precisely A message to Hollywood and the narrative media. Merely race or gender swapping established characters is not innovative or imaginative. It is an exercise in politics, not art. It is proof of

Racist laws in South Africa are evil and the politicians that push these are shameful, disgusting people 🇿🇦 South African President Cyril Ramaphosa says that the country will not abandon its DEI polic

Remote work is lonely. 90% of the time is just you and a screen. But when you get the chance to meet your close virtual friends for the first time, it hits differently. Being in the same room with you

Thomas Sowell is an American economist, social theorist, and senior fellow at the Hoover Institution, known for his work on economics, race, and social policy from a conservative and free-market persp

Terence Tao proposes what he calls a 'Copernican view of intelligence'. Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from 'subhuman' to

Three men with a single gun and two knives between them broke into my home in Pretoria twenty years ago. I was held captive with those I was living with. After nearly two hours, aware that I and other

Weird. I was repeatedly told by Democrats that immigrants can’t get welfare. Roughly 16,000 immigrants may lose access to crucial food assistance in Illinois as a result of federal eligibility changes

BREAKING: The Australian government chose to arrest Ben Roberts-Smith in Sydney rather than his home state of Queensland because the government prosecution wanted less white Australians on the jury -

Claude Code is not AGI, but it is the single biggest advance in AI since the LLM. But the thing is, Claude Code is NOT a pure LLM. And it’s not pure deep learning. Not even close. And that changes eve

OpenAI's Codex App (available at chatgpt.com/codex) is a dedicated command center for agentic coding, enabling developers to manage multiple AI coding agents working in parallel across projects. T...

Great piece. The lock-in point is the one nobody talks about enough. If your agent’s memory lives behind someone else’s API, you don’t have a product. You have a dependency. Learned this early buildin

A Reddit post from the r/ChatGPT community highlighting a surprising or lesser-known capability of ChatGPT that impressed the original poster. Posts of this type typically showcase an unexpected use c

I've followed Gary since reading his 2019 book Rebooting AI and while I focus much of my work on building AI tools that help lawyers and believe in the benefits of using AI in a law practice, Gary's r

This post is so so good. We are at this interesting point where we’ve started to really figure out ‘memory’ with these LLM-based systems. And @hwchase17 is totally right - memory is basically just con

What if owning the memory layer goes far beyond escaping lock-in? What if memory becomes fully editable intelligence? You could debug bad patterns, reinforce good ones, and crucially synthesize new on

Gary Marcus, a cognitive scientist and AI critic, posted on X criticizing the platform's search functionality, arguing it is poorly designed for classifying and surfacing trends. He contrasts its inad

arXiv:2604.06940v1 Announce Type: cross Abstract: Most neural solvers for the Traveling Salesperson Problem (TSP) are trained to output a single solution, even though practitioners rarely stop there:

arXiv:2604.07017v1 Announce Type: new Abstract: AI assistants that interact with users over time need to interpret the user's current emotional state in order to respond appropriately and personally.

arXiv:2604.06650v1 Announce Type: cross Abstract: Existing prompt-based fine-tuning methods typically learn task-specific prompts independently, imposing significant computing and storage overhead at

arXiv:2503.17181v3 Announce Type: replace-cross Abstract: Despite the rapid progress of large language models (LLMs) in code generation, existing evaluations focus on functional correctness or syntact

arXiv:2604.07274v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated strong capabilities in medical question answering; however, purely parametric models often suffer from

arXiv:2511.20162v2 Announce Type: replace Abstract: Large multi-modal models (LMMs) show increasing performance in realistic visual tasks for images and, more recently, for videos. For example, given

arXiv:2604.08525v1 Announce Type: cross Abstract: Today's large language models (LLMs) are trained to align with user preferences through methods such as reinforcement learning. Yet models are beginni