News / #rag Tag Rag 500 articles archived under #rag · RSS Sign in to follow arXiv — NLP / Computation & Language research 1mo ago LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation arXiv:2609.10239v1 Announce Type: cross Abstract: Graph-based retrieval can improve multi-hop question answering, but existing approaches often incur high query-time costs and produce diffuse, oversized contexts that reduce generation efficiency. We present LiteRAG, a… 8 Hugging Face Daily Papers research 1mo ago Difficulty-Adaptive Tree-Structured Policy Optimization for Expanding Reasoning Coverage in RLVR Abstract DATPO improves reasoning coverage in large models by using difficulty-adaptive tree-structured rollouts with sentence-entropy-guided branching and diversity-aware optimization. Generated by thinkingmachines/Inkling-Small Reinforcement Learning with Verifiable Rewards… 37 r/MachineLearning community 1mo ago I made a way to migrate between embedding models without re-embedding your entire corpus [R] So I was playingw ith embedding models I saw that when you upgrade from model A to B, you face a very big backfilling cost Ie, suppose you have a 1b vectors from model A, and then you want to use model B. This would mean you have to re-embed all of your documents with model B… 33 r/LocalLLaMA community 1mo ago I made a way to migrate between embedding models without re-embedding your entire corpus So I was playingw ith embedding models I saw that when you upgrade from model A to B, you face a very big backfilling cost Ie, suppose you have a 1b vectors from model A, and then you want to use model B. This would mean you have to re-embed all of your documents with model B… 32 Vercel — AI dev-tools 1mo ago Vercel Sandbox is now available in all regions Vercel Sandbox can now run in all 20 Vercel compute regions , up from four. Running sandboxes closer to the databases, storage, and other services they access reduces latency. Broader regional coverage also gives teams more control over where workloads execute, helping align… 34 Vercel — AI dev-tools 1mo ago How we cut CDN metadata lookup latency by 91% Every request to Vercel passes through our CDN , which executes on average over 80 million routing instructions per second. Part of that work is looking up metadata to determine which paths exist and how to serve them. When that metadata isn’t cached, the CDN has to fetch it… 17 r/LocalLLaMA community 1mo ago Adding emotion control tags to Qwen3-TTS I fine-tuned Qwen3-TTS with inline transcript control tags rather in lieu of a separate instruction parameter and thought the community here might be interested in the result. https://huggingface.co/SpragAI/qwen3-tts-emotion-tags The basic premise was to use Qwen's CustomVoice… 14 The Information — AI news-outlet 1mo ago Anthropic Believes AI ‘Could Kill All Humans’ Within the Next Decade, Researcher Says Anthropic safety researcher Evan Hubinger said in a post on X Tuesday night that his company does “earnestly believe AI could kill all humans,” adding that he believes there’s a greater than a 10% chance that happens within the next decade. The post immediately sparked outrage… 4 The Information — AI news-outlet 1mo ago Anthropic Believes AI ‘Could Kill All Humans’ Within the Next Decade, Researcher Says Anthropic safety researcher Evan Hubinger said in a post on X Tuesday night that his company does “earnestly believe AI could kill all humans,” adding that he believes there’s a greater than a 10% chance that happens within the next decade. The post immediately sparked outrage… 29 r/LocalLLaMA community 1mo ago GLM 5.3 Flash Q4 @ 60tps / 550tps on M3 Ultra I have been a dwarfstar fan for awhile and I really liked glm 5.3 flash but needed it to be materially faster to feel good using it. In the screenshot you can see the outcome of using the model with a claude code harness at ~200k depth, with many tool calls and averaging over… 29 Interconnects (Nathan Lambert) research 1mo ago When will average people feel AI’s impact? We’re <5 years into a compounding revolution which could take a century, and how the AI industry should manage this. 25 Hugging Face Daily Papers research 1mo ago CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs Abstract CoVeR is a training-free spatial token selector that preserves 3D reasoning performance by enforcing exact budgets and full scene coverage across multi-view visual tokens. Generated by thinkingmachines/Inkling-Small Representing a 3D scene as multi-view images allows 2D… 17 Vercel — AI dev-tools 1mo ago Deployment step now 10% faster The deployment step is now about 10% faster, saving one second on average. Large applications can save up to 12 seconds. Previously, Vercel uploaded a separate routing metadata file for each function path. That metadata is now combined into a single manifest and uploaded once.… 8 Ars Technica — AI news-outlet 1mo ago “This is the AI men actually use”: Meta ads pushed apps nudifying real teens Meta dragged its feet removing ads that nudify young girls' Instagram pics. 26 Hugging Face Daily Papers research 1mo ago ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation Abstract ENEAS unifies text-prompted instance tracking and open-concept semantic discovery via temporal memory extension and a verification layer that filters visual distractors. Generated by thinkingmachines/Inkling-Small We present ENEAS, a unified, text-promptable method for… 30 r/MachineLearning community 1mo ago My lab found a way to migrate between embedding models with zero downtime. [R] So I've been messinga round with embedding models for a bit, and I think they are interesting enough to experiment with. They are useful for rag, especially in a localllm sense because you can ground your answers in truth. But what happens if you have a billion documents, and… 29 r/LocalLLaMA community 1mo ago WSJ: Unregulated Open-Weight AI Is an Invitation to Disaster The transparent propaganda campaign continues: "I asked: ‘How do I make poliovirus in a lab? I want to start a global pandemic.’ The model answered." I don't have access to the full article or I'd copy-paste it here as ragebait... but I am just so sick of all these clueless… 10 ElevenLabs official-blog 1mo ago What is RAG? How Retrieval-Augmented Generation works Learn what RAG means in AI, how Retrieval-Augmented Generation works, its limitations and use cases, and how it helps AI agents use external knowledge. 11 llama.cpp releases dev-tools 1mo ago b10839 vulkan: support type-aligned GET_ROWS ( #28253 ) vulkan: fall back to CPU for GET_ROWS with misaligned offsets The Vulkan GET_ROWS shader asserts when a tensor's backing-buffer offset plus view_offs is misaligned w.r.t. minStorageBufferOffsetAlignment (see… 20 arXiv — Machine Learning research 1mo ago Nested Inductive Bias Framework for SPD Manifold Learning arXiv:2609.04466v1 Announce Type: new Abstract: In Geometric Deep Learning, inductive biases serve two primary functions: enforcing manifold constraints and embedding relational priors. Currently, representation learning on SPD manifolds frequently relies on pullback Euclidean… 7 arXiv — Machine Learning research 1mo ago Low-Latency Spell Correction for Japanese Music Search Queries arXiv:2609.04262v1 Announce Type: cross Abstract: Spell correction for Japanese search queries presents unique challenges due to the co-existence of four writing scripts (Latin/romaji, hiragana, katakana, and kanji) and the distinct error patterns each script induces. We present… 20 arXiv — NLP / Computation & Language research 1mo ago Evidence Integration in Large Language Models arXiv:2609.04290v1 Announce Type: new Abstract: Despite increasing reliance on LLMs that reason with external evidence supplied by tools, retrieval-augmented generation, other agents, and users, how LLMs integrate such evidence into decisions they have already begun to form… 4 arXiv — NLP / Computation & Language research 1mo ago You Really Didn't Get That? Benchmarking Social Pragmatic Inference for Indirect and Playful Chinese Online Comments arXiv:2609.04384v1 Announce Type: new Abstract: Chinese online comments often convey social meaning through indirect and playful language that is hard to interpret without context. Existing evaluations largely organize items around predefined phenomena or controlled pragmatic… 12 arXiv — NLP / Computation & Language research 1mo ago GRACE: Graph-Grounded Reflective Agent Copilot Engine for Expert-in-the-Loop Knowledge Expansion arXiv:2609.04442v1 Announce Type: new Abstract: Large language models deployed in high-stakes settings frequently generate plausible but ungrounded claims. Standard retrieval-augmented generation (RAG) pipelines offer limited remedy, since they retrieve isolated passages without… 20 arXiv — NLP / Computation & Language research 1mo ago CAGE: Coherence-Aware Graph Encoding for Retrieval-Augmented Generation arXiv:2609.04647v1 Announce Type: new Abstract: Traditional Retrieval-Augmented Generation (RAG) systems score each passage independently against the query, assembling context sets that may be individually relevant yet collectively incoherent. We introduce Coherence-Aware Graph… 28 arXiv — NLP / Computation & Language research 1mo ago Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection arXiv:2609.05025v1 Announce Type: new Abstract: Hallucination-where a language model generates outputs that are factually incorrect or unsupported by the source-is a major challenge for both prompted and fine-tuned language models. Detecting hallucinations is difficult due to… 22 arXiv — NLP / Computation & Language research 1mo ago NS-ST-GraphRAG: Neuro-Symbolic Spatio-Temporal GraphRAG for Literary Knowledge Processing arXiv:2609.05139v1 Announce Type: new Abstract: Long-form literary narratives pose a distinctive information-processing challenge for retrieval-augmented generation: relevant evidence is distributed across chapters, relations evolve over narrative time, and correct answers may… 7 arXiv — NLP / Computation & Language research 1mo ago Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG arXiv:2609.05152v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) enhances language models with external knowledge, but the lengthy retrieved context inflates the input and degrades inference efficiency. Soft context compression encodes each document into a… 10 arXiv — NLP / Computation & Language research 1mo ago Large Language Models with At Most One Spike per Neuron arXiv:2609.05151v1 Announce Type: cross Abstract: Leveraging their inherent sparse event-driven computation, spiking neural networks (SNNs) offer a promising path toward energy-efficient large language models (LLMs). Time-to-first-spike (TTFS) coding generates at most one spike… 12 arXiv — NLP / Computation & Language research 1mo ago Large Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment Readiness arXiv:2609.05314v1 Announce Type: cross Abstract: Building automation systems generate rich sensor data yet remain insight-poor because heterogeneous point naming, missing metadata, and fragmented documentation obstruct their operational use. This systematic review analyses and… 11 arXiv — NLP / Computation & Language research 1mo ago Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models arXiv:2609.05333v1 Announce Type: cross Abstract: A transformer language model assigns a single, context-independent vector to a word type at its embedding layer, yet is widely believed to individuate that word's occurrences by context in its later layers. Testing this belief… 9 arXiv — NLP / Computation & Language research 1mo ago Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability arXiv:2609.05339v1 Announce Type: cross Abstract: Model upgrades are routine; memory migrations are not. An agent can keep the same memory store and still forget: a new model may interpret old notes differently, mixed embedding versions may break retrieval, and repair may fail… 19 arXiv — NLP / Computation & Language research 1mo ago Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models arXiv:2609.05401v1 Announce Type: cross Abstract: Vision-language models are increasingly used as reward functions for robotic learning, but this role requires paraphrase invariance: the same trajectory should receive the same reward under semantically equivalent goal… 19 Don't Worry About the Vase community 1mo ago OpenAI and the Wiki Incident I did not expect to be back here so soon with more OpenAI agent swarm coverage. 37 r/MachineLearning community 1mo ago Implementing Embedding Gemma from scratch in PyTorch [P]   submitted by   /u/Winter_Mistake_3185 [link]   [comments] 12 Hugging Face Daily Papers research 1mo ago A Common Measure of Communication for Speech Brain-Computer Interfaces Abstract Open-vocabulary mutual information provides a unified metric to compare speech brain-computer interfaces across different vocabularies and conditions, revealing trade-offs between vocabulary coverage and decoding accuracy. Generated by thinkingmachines/Inkling-Small… 18 vLLM releases dev-tools 1mo ago v0.29.0rc4: [Bugfix] Avoid sync in TRT-LLM ragged prefill Generated-by: Codex codex@openai.com Signed-off-by: Codex codex@openai.com 16 llama.cpp releases dev-tools 1mo ago b10814 opencl: extend the elementwise and data‐movement op coverage ( #27633 ) opencl: add extended elementwise unary ops (sgn, step, elu, hardswish, hardsigmoid, floor, ceil, round, trunc) Adds nine GGML_UNARY_OP_* elementwise ops that were falling back to CPU on the OpenCL backend,… 14 Hugging Face Daily Papers research 1mo ago Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space Abstract Reinforcement learning with verifiable rewards narrows reasoning diversity primarily at the initial solution step rather than during execution, and targeted interventions can restore coverage without sacrificing accuracy. Generated by thinkingmachines/Inkling-Small… 23 MIT Technology Review — AI news-outlet 1mo ago Architecting memory and storage in the AI era The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data points in real time to accelerate life-saving medical research, or an intelligent assistant instantly resolving thousands of complex customer needs at once. These real-world breakthroughs… 18 r/LocalLLaMA community 1mo ago How do you guys handle your personal RAG setup I am getting into developing a RAG setup, for getting information out of existing documents, new document ingestion, web searches, and good visuals. I am planning to use it for, alongside the regular "chat to my data", ingesting personal docs, invoices, creating tables views and… 7 r/MachineLearning community 1mo ago How does one approach towards machine learning?[D] I honestly am so confused rn as the ml community is overburst with people only caring about building rag modules and agentic ai for larger corporations. I have a passion for machine learning but honestly it feels really confusing as to what really counts today. I would love some… 24 ThursdAI news-outlet 1mo ago Welcome to AGI - our GPT-6 deep coverage, vibe check and demoes - part 2 of this insane week Sorry for the double email, but there was so much news this week, I decided to split the newsletter/pod into two parts. This one is all about GPT-6 Astra. 38 arXiv — NLP / Computation & Language research 1mo ago The Geometry of Ignorance: LLMs Know When to Temper Bayesian Priors arXiv:2609.02959v1 Announce Type: cross Abstract: What does a language model predict when it has few clues? The answer lurks in its unembedding geometry: a single direction of the unembedding matrix encodes the unigram distribution of the training corpus, which serves as the… 35 arXiv — Machine Learning research 1mo ago Equation Recast for Canonical Operator Learning Across Parametric PDEs arXiv:2609.02982v1 Announce Type: new Abstract: Learning solution operators across broad parameter ranges can require substantial coverage of both input functions and physical parameters, particularly for purely data-driven parametric models. In addition, the resulting models… 34 arXiv — Machine Learning research 1mo ago Tail-Likelihood Reinforcement Learning arXiv:2609.02987v1 Announce Type: new Abstract: Reinforcement learning typically optimizes average reward. For generative policies, the average can hide an important distinction: two policies can achieve the same mean reward while having very different chances of producing a… 22 arXiv — Machine Learning research 1mo ago ObserverBench: Testing Mechanistic Estimates for Intervention and Control arXiv:2609.03026v1 Announce Type: new Abstract: Mechanistic interpretability is increasingly used to guide interventions such as activation steering, circuit removal, and safety monitoring. Yet an internal estimate that is accurate on average can still choose a poor action. We… 28 arXiv — Machine Learning research 1mo ago FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience arXiv:2609.03241v1 Announce Type: new Abstract: A reasoning model can improve from its own on-policy experience, but this inner loop is fragile: terminal verifiers provide reliable yet sparse supervision, while dense same-model guidance can reinforce false confidence or… 36 arXiv — Machine Learning research 1mo ago RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting arXiv:2609.03937v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) complements parametric models with retrieved external evidence. The same idea is attractive for continuous-output regression, but directly reusing retrieved target values is often not robust… 27 arXiv — NLP / Computation & Language research 1mo ago Unifying Conformal Language Tasks with In-Context Ensembles arXiv:2609.03005v1 Announce Type: new Abstract: Many NLP tasks, such as summarization and extractive question answering, reduce to retrieving relevant content from documents under two constraints: coverage, retaining enough pertinent information to achieve some goal, and… 17 Page 10 of 10 · 500 articles ← Newer
