Search: “llm”

PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence

arXiv:2603.11178v3 Announce Type: replace Abstract: Standard LLM distillation treats all training problems equally -- wasting compute on problems the student has already mastered or cannot yet solve.

Tools

Quoting Bryan Cantrill

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

DGX agent

The problem is that LLMs inherently lack the virtue of laziness. Work costs nothing to an LLM. LLMs do not feel a need to optimize for their own (or anyone's) future time, and will happily dump more a

toolssimon-willison

13 Apr 2026

Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective

arXiv:2604.08880v1 Announce Type: cross Abstract: Chain-of-thought (CoT) distillation transfers reasoning behaviors from a strong teacher to a smaller student, but prior work reports a capacity gap: d

researcharxiv-cs-ai

Robust Reasoning Benchmark

arXiv:2604.08571v1 Announce Type: cross Abstract: While Large Language Models (LLMs) achieve high performance on standard mathematical benchmarks, their underlying reasoning processes remain highly ov

SEA-Eval: A Benchmark for Evaluating Self-Evolving Agents Beyond Episodic Assessment

arXiv:2604.08988v1 Announce Type: new Abstract: Current LLM-based agents demonstrate strong performance in episodic task execution but remain constrained by static toolsets and episodic amnesia, faili

Seeking Help

This is a post from the r/ollama subreddit, a community dedicated to the Ollama local LLM runtime tool, where a user is requesting assistance with a problem they are encountering. The post likely invo

local-air-ollama

Safety

Semantic Intent Fragmentation: A Single-Shot Compositional Attack on Multi-Agent AI Pipelines

arXiv:2604.08608v1 Announce Type: cross Abstract: We introduce Semantic Intent Fragmentation (SIF), an attack class against LLM orchestration systems where a single, legitimately phrased request cause

safetyarxiv-cs-ai

Safety

SSPO: Subsentence-level Policy Optimization

arXiv:2511.04256v2 Announce Type: replace Abstract: As a key component of large language model (LLM) post-training, Reinforcement Learning from Verifiable Rewards (RLVR) has substantially improved rea

safetyarxiv-cs-cl

Agents

Strategic Algorithmic Monoculture:Experimental Evidence from Coordination Games

arXiv:2604.09502v1 Announce Type: new Abstract: AI agents increasingly operate in multi-agent environments where outcomes depend on coordination. We distinguish primary algorithmic monoculture -- base

agentsarxiv-cs-ai

Streaming Video Instruction Tuning

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

researcharxiv-cs-cv

Applications

SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

arXiv:2604.08555v1 Announce Type: new Abstract: Physician-physician discussions of patient cases represent a rich source of clinical knowledge and reasoning that could feed AI agents to enrich and eve

applicationsarxiv-cs-cl

Temperature-Dependent Performance of Prompting Strategies in Extended Reasoning Large Language Models

arXiv:2604.08563v1 Announce Type: cross Abstract: Extended reasoning models represent a transformative shift in Large Language Model (LLM) capabilities by enabling explicit test-time computation for c

Towards Knowledgeable Deep Research: Framework and Benchmark

arXiv:2604.07720v2 Announce Type: replace Abstract: Deep Research (DR) requires LLM agents to autonomously perform multi-step information seeking, processing, and reasoning to generate comprehensive r

Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails

arXiv:2603.03099v5 Announce Type: replace-cross Abstract: Despite Adam demonstrating faster empirical convergence than SGD in many applications, much of the existing theory yields guarantees essential

b8770

**b8770** is a sequentially numbered automated build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference loca

Educational PyTorch repo for distributed training from scratch: DP, FSDP, TP, FSDP+TP, and PP [P]

researchr-machinelearning

This Reddit post shares an educational PyTorch repository designed to teach distributed training techniques from the ground up, covering Data Parallelism (DP), Fully Sharded Data Parallel (FSDP), Tens

Syntheses

Synthesis: Swyx--X

synthesisswyx--xauto-generated

Auto-generated synthesis of 142 entries about swyx--x

Training an AI to play Resident Evil Requiem using Behavior Cloning + HG-DAgge [P]

researchr-machinelearning

This r/MachineLearning post details a project in which a developer trains an AI agent to autonomously play *Resident Evil Requiem* using imitation learning techniques — starting with Behavior Cloning

b8751

llama.cpp build **b8751** is a tagged release of the [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp) project, a C/C++ library enabling high-performance LLM inference with minimal setup ...

b8752

llama.cpp release **b8752** is a tagged build of the [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp) project — a C/C++ framework for efficient LLM inference on a wide range of hardware....

b8754

llama.cpp release **b8754** is a tagged build of the open-source C/C++ LLM inference library maintained under the `ggml-org` GitHub organization. The release includes pre-built binaries for a wide ...

b8755

llama.cpp release **b8755** is a tagged build of the [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp) project — a C/C++ library for local LLM inference. This build is one of the project'...

b8757

**b8757** is a versioned build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference locally on consumer hardwa

b8759

Build **b8759** is an incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ library for local LLM inference using GGUF-format models. Like other builds in th

b8760

llama.cpp release **b8760** is a build of the open-source C/C++ LLM inference framework, with its primary change being a tensor parallelism (TP) fix for Qwen 3 regarding next data split (PR #21732). P

b8761

Build b8761 is an incremental release of **llama.cpp**, an open-source C/C++ framework for running large language model (LLM) inference locally with minimal dependencies. Like neighboring builds in th

b8763

llama.cpp build b8763 is a release of the open-source C/C++ LLM inference library, published on April 11, 2025, with the primary change being a CUDA optimization to skip compilation of superfluous fla

Goose desktop setup for Ollama cloud

This Reddit post from r/ollama likely discusses how to configure the Goose desktop application — an open-source, autonomous AI agent developed by Block — to work with Ollama Cloud as its LLM provider.

local-air-ollama

A Novel Automatic Framework for Speaker Drift Detection in Synthesized Speech

arXiv:2604.06327v1 Announce Type: cross Abstract: Recent diffusion-based text-to-speech (TTS) models achieve high naturalness and expressiveness, yet often suffer from speaker drift, a subtle, gradual

AgentGate: A Lightweight Structured Routing Engine for the Internet of Agents

arXiv:2604.06696v1 Announce Type: new Abstract: The rapid development of AI agent systems is leading to an emerging Internet of Agents, where specialized agents operate across local devices, edge node

An empirical study of LoRA-based fine-tuning of large language models for automated test case generation

arXiv:2604.06946v1 Announce Type: cross Abstract: Automated test case generation from natural language requirements remains a challenging problem in software engineering due to the ambiguity of requir

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views

arXiv:2604.07041v1 Announce Type: cross Abstract: Text-to-SQL is the task of translating natural language queries into executable SQL for a given database, enabling non-expert users to access structur

b8740

llama.cpp release **b8740** (commit `e34f042`) is a build of the open-source C/C++ LLM inference engine focused on the change 'CUDA: fuse muls' (PR #21665), which optimizes CUDA performance by fusi...

b8741

llama.cpp **b8741** is an incremental build release of the open-source [llama.cpp](https://github.com/ggml-org/llama.cpp) project, which provides LLM inference in C/C++. It is one of many frequentl...

b8742

llama.cpp release **b8742** (commit `7b69125`) is a incremental build of the C/C++ LLM inference engine focused on a Vulkan backend enhancement: it adds Q1_0 quantization type support to `ggml-vulk...

b8744

llama.cpp release **b8744**, published on April 10, 2026, is a build of the ggml-org/llama.cpp C/C++ LLM inference engine. Its primary change enables the reasoning budget sampler for Gemma 4 by add...

b8747

llama.cpp release **b8747** is the latest build of the C/C++ LLM inference engine, published on April 10, 2026 (commit `fb38d6f`). Its primary change is a bug fix in the `common` layer that resolve...

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection

arXiv:2506.19420v2 Announce Type: replace Abstract: Multimodal sarcasm understanding is a high-order cognitive task. Although large language models (LLMs) have shown impressive performance on many dow

Data Selection for Multi-turn Dialogue Instruction Tuning

arXiv:2604.07892v1 Announce Type: new Abstract: Instruction-tuned language models increasingly rely on large multi-turn dialogue corpora, but these datasets are often noisy and structurally inconsiste

local-aiarxiv-cs-cl

Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models

model-releasesarxiv-cs-cl

arXiv:2604.07717v1 Announce Type: new Abstract: Human immunodeficiency virus (HIV)-related stigma is a critical psychosocial determinant of health for people living with HIV (PLWH), influencing mental

DisCEdge: Distributed Context Management for Large Language Models at the Edge

arXiv:2511.22599v2 Announce Type: replace-cross Abstract: Deploying Large Language Model (LLM) services at the edge benefits latency-sensitive and privacy-aware applications. However, the stateless na

researcharxiv-cs-lg

Applications

DQA: Diagnostic Question Answering for IT Support

arXiv:2604.05350v2 Announce Type: replace Abstract: Enterprise IT support interactions are fundamentally diagnostic: effective resolution requires iterative evidence gathering from ambiguous user repo

applicationsarxiv-cs-cl

Emotion Concepts and their Function in a Large Language Model

model-releasesarxiv-cs-cl

arXiv:2604.07729v1 Announce Type: cross Abstract: Large language models (LLMs) sometimes appear to exhibit emotional reactions. We investigate why this is the case in Claude Sonnet 4.5 and explore imp

Safety

Garry @Kasparov63 retired from competitive chess over twenty years ago, and most or all of his tournament games are presumably publicly avai…

Garry @Kasparov63 retired from competitive chess over twenty years ago, and most or all of his tournament games are presumably publicly available - and yet I bet he still could crush any LLM that didn

safetygary-marcus--x

Applications

GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records

arXiv:2604.06684v1 Announce Type: new Abstract: Clinical Reasoning on Electronic Health Records (EHRs) is a fundamental yet challenging task in modern healthcare. While in-context learning (ICL) offer

applicationsarxiv-cs-lg

HyperMem: Hypergraph Memory for Long-Term Conversations

model-releasesarxiv-cs-cl

arXiv:2604.08256v1 Announce Type: new Abstract: Long-term memory is essential for conversational agents to maintain coherence, track persistent tasks, and provide personalized interactions across exte

Improving Robustness In Sparse Autoencoders via Masked Regularization

arXiv:2604.06495v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) are widely used in mechanistic interpretability to project LLM activations onto sparse latent spaces. However, sparsity alo

researcharxiv-cs-ai

Agents

MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis

arXiv:2604.06180v1 Announce Type: cross Abstract: Medical diagnosis using Large Multimodal Models (LMMs) has gained increasing attention due to capability of these models in providing precise diagnose

agentsarxiv-cs-lg