News / #rag Tag Rag 500 articles archived under #rag · RSS Sign in to follow r/MachineLearning community 10h ago Open-source access-control checker for retrieval-based AI applications [P] Hey Guys, I built a small open-source tool that checks whether a RAG application retrieves documents a user shouldn’t have access to. It supports offline test cases and live HTTP API testing with bearer token/API-key auth. I’m looking for a few engineers to try it on a test or… 32 The Information — AI news-outlet 1d ago Andreessen Horowitz Raises $1.1 Billion for AI Hardware Fund Andreessen Horowitz raised $1.1 billion for a fund that will invest in physical AI and infrastructure startups, the firm announced Friday. The money will be used to back companies building chips, memory, networking, storage and other companies involved in the AI buildout.… 15 llama.cpp releases dev-tools 1d ago b10680: snapdragon: python SDK setup (Windows) (#27903) port setup-build.ps1 to setup_sdk.py, to facilitate installation of Hexagon and OpenCL SDKs on Windows rename setup_sdk.py -> setup-sdk.py flake8 fix: print() -> logger.info() Co-authored-by: Kristopher Urquhart kurquhar@qti.qualcom.com 33 r/LocalLLaMA community 1d ago claude mods didn't like that, somehow 🤷♀️   submitted by   /u/peculiar-ragdoll [link]   [comments] 37 arXiv — Machine Learning research 2d ago Neural Regression with Embeddings for Numerical Attribute Prediction in Knowledge Graphs arXiv:2608.26729v1 Announce Type: new Abstract: In recent years, transductive knowledge graph embedding models have been applied to tasks such as link prediction and query answering. Although knowledge graphs often contain rich numerical attributes, most embedding models neglect… 20 arXiv — Machine Learning research 2d ago Beyond Client Averaging: A Client-Independent Second-Order Stationary-Bias Component in Stochastic SCAFFOLD arXiv:2608.26765v1 Announce Type: new Abstract: Existing constant-step analysis of stochastic \Scaf{} identifies a leading $O(\gamma/N)$ stationary mean bias and shows that higher-order bias can persist as the client count increases, but does not identify the first… 17 arXiv — Machine Learning research 2d ago SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting arXiv:2608.26829v1 Announce Type: new Abstract: Time series forecasting models operate on raw numerical sequences, lacking the semantic knowledge that domain experts implicitly leverage, such as the physical meaning of each variable, its statistical behavior, and its temporal… 22 arXiv — Machine Learning research 2d ago Scaling Model-Generated Distillation Data Can Make Latent Teacher Traits More Recoverable arXiv:2608.26958v1 Announce Type: new Abstract: Scaling model-generated data is usually viewed as improving distillation: more examples should increase coverage, reduce noise, and produce stronger students. We show a second effect: larger datasets can make subtle… 38 arXiv — Machine Learning research 2d ago Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPO arXiv:2608.27351v1 Announce Type: new Abstract: Evolution Strategies (ES) have recently emerged as a memory-efficient post-training paradigm for LLM reasoning. However, the optimization behavior of ES remains understudied, making it hard to define its advantage scope compared to… 14 arXiv — NLP / Computation & Language research 2d ago TelecomGPT-R1: A Unified Open-Source Reasoner for the Telecom Stack arXiv:2608.26126v1 Announce Type: new Abstract: Telecommunications is a high-leverage domain for large language model (LLM)-based reasoning because routine engineering workflows require joint grounding in normative specifications, operational telemetry, vendor-specific fault… 5 arXiv — NLP / Computation & Language research 2d ago Data Science Approaches to Evaluating Honours Candidates arXiv:2608.26135v1 Announce Type: new Abstract: We present a modular data-science pipeline for estimating public sentiment towards individuals from fragmented, unstructured open-source intelligence (OSINT). The method chains web search, text extraction, relevance filtering,… 11 arXiv — NLP / Computation & Language research 2d ago Comparing Chunking and Embedding Strategies for Turkish RAG Systems arXiv:2608.26192v1 Announce Type: new Abstract: How documents are segmented into retrievable chunks and how those chunks are embedded strongly affect Retrieval-Augmented Generation (RAG) quality, yet neither has been systematically studied for morphologically rich languages such… 8 arXiv — NLP / Computation & Language research 2d ago A Reranker for Orchestrating Heterogeneous Speech and Text Retrievers arXiv:2608.26194v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems have attracted significant interest for their ability to mitigate hallucinations in Large Language Models (LLMs). Although knowledge databases for RAG are increasingly diversifying to… 16 arXiv — NLP / Computation & Language research 2d ago When Is Noise Response Universal? Tokenization as the Hidden Variable in Language Models arXiv:2608.26319v1 Announce Type: new Abstract: The performance of textual neural models often degrades when their inputs are corrupted by noise such as typos, OCR errors, or dropped words. We study the degradation rate across neural models, both sentence embeddings and… 18 arXiv — NLP / Computation & Language research 2d ago MoganColBERT-TR: A Late-Interaction Multi-Vector Retrieval Model for Turkish arXiv:2608.26344v1 Announce Type: new Abstract: We previously reported a ModernBERT encoder trained from scratch for Turkish (MoganBERT-TR) and a single-vector embedding model built on top of it (MoganBERT-embed). This work introduces the third model in that lineage:… 37 arXiv — NLP / Computation & Language research 2d ago Why RAGs Hallucinate: Penalty-Aware Evaluation of Retrieval-Augmented Generation Systems with Knowledge-Gap Canaries arXiv:2608.26385v1 Announce Type: new Abstract: Volume-based accuracy rewards retrieval-augmented generation (RAG) systems for guessing: a system that answers everything outscores one that declines when its knowledge base cannot support an answer. Building on the… 6 arXiv — NLP / Computation & Language research 2d ago Co-Evolving Structured Knowledge and Reasoning in Language Models arXiv:2608.26386v1 Announce Type: new Abstract: Retrieval-augmented methods improve factual accuracy by grounding language models in external knowledge, but retrieving over unstructured text often introduces irrelevant context and offers limited control over the retrieved… 23 arXiv — NLP / Computation & Language research 2d ago Double Trouble: Bilingual Pretraining Leaves Language-Conditioned Effects in Shared-Language Representations arXiv:2608.26576v1 Announce Type: new Abstract: When researchers compare multilingual models for probing, interpretability, or cross-lingual transfer, they often align embedding spaces and assume that shared-language representations are comparable. We show that this assumption… 13 arXiv — NLP / Computation & Language research 2d ago PragAlign: Evidence-Sensitive Reply Assistance Across Chinese and Japanese Appropriateness Judgments arXiv:2608.26700v1 Announce Type: new Abstract: Reply assistance in multilingual settings requires linguistic competence and culturally situated judgments of appropriateness. We present PragAlign, which separates context reading from selective clarification, and evaluate it… 23 arXiv — NLP / Computation & Language research 2d ago Towards Expert Financial QA via Self-Improving RAG arXiv:2608.26706v1 Announce Type: new Abstract: Expert-level financial question answering requires both grounded verification to catch numeric hallucinations and audit trails for regulatory compliance, attributes that standard single-pass RAG systems lack. We take a step toward… 6 arXiv — NLP / Computation & Language research 2d ago KinyaEmbed: Contrastive Sentence Embeddings for Kinyarwanda via Multi-Stage Curriculum Training arXiv:2608.26941v1 Announce Type: new Abstract: We present KinyaEmbed, the first dedicated sentence embedding model for Kinyarwanda, a morphologically rich Bantu language spoken by over 12 million people in Rwanda. Existing multilingual embedding models such as LaBSE, mE5-large,… 34 arXiv — NLP / Computation & Language research 2d ago Reasoning about In-Context Samples for Machine-Translation arXiv:2608.27036v1 Announce Type: new Abstract: Large Language Models (LLMs) can be trained to perform chain-of-thoughts reasoning in order to improve the reliability of their responses. In this work, we investigate how explicit reasoning can be leveraged for LLM-Based Machine… 18 r/LocalLLaMA community 2d ago Ninfer and a 5090 with 3.8 27B is making me cry tears of joy it's so good. Built the latest and I'm getting as much as 220 tokens per second and averaging in the 170s, I can't get over it. If anyone on here is on that project, fuckkkin' chapeau man, really incredible job. I can't believe I was able to like double or more my throughput from llama.cpp… 34 Hugging Face Daily Papers research 2d ago Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPO Abstract Evolution strategies improve reasoning diversity and Pass@K over GRPO through sparse functional updates and population diversity, supporting a hybrid training approach. Generated by thinkingmachines/Inkling-Small Evolution Strategies (ES) have recently emerged as a… 30 r/LocalLLaMA community 2d ago Appreciation Post - thomsonreuters/Thomson-1.0-Small With the lack of support from Qwen regarding the smaller 9B and 35B MOE models. Like myself, not everyone is looking for an agentic coding model, I particularly use it for RAG and reviewing and require high reasoning across different documents & came across this Finetune:… 22 r/MachineLearning community 2d ago MCA final year — need a real-world-scale AI project idea, not a toy/tutorial-level one[D] I'm an MCA student with hands-on experience in Python, LangChain, Chroma, HuggingFace, and FastAPI (built a RAG document-QA system already). My project guide specifically wants a real-world problem — something an actual company would need solved — not a generic "sentiment… 22 arXiv — NLP / Computation & Language research 3d ago GreenLeaf Law Embed Tiny: A Compact Embedding Model for Legal Domain Retrieval arXiv:2608.24936v1 Announce Type: cross Abstract: We present GreenLeaf Law Embed Tiny, a 0.6B parameter embedding model for legal domain retrieval. GreenLeaf-Tiny achieves 75.11% on the Massive Legal Embedding Benchmark (MLEB) and 64.38% on MTEB(Law, v1),demonstrating… 14 arXiv — Machine Learning research 3d ago Bayesian Flow Networks for Offline Trajectory Planning arXiv:2608.25163v1 Announce Type: new Abstract: Offline reinforcement learning (RL) leverages static datasets to learn decision policies without real-time environment interaction. While recent sequence-modeling approaches rely on continuous diffusion models for trajectory… 25 arXiv — NLP / Computation & Language research 3d ago Output Dilution: Redundant but Fragile Representations in MoE Models arXiv:2608.25231v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) models appear to encode moral content as robustly as dense models, yet prove far more fragile in their encoding. In OLMoE-1B-7B, linear probes recover moral valence from nearly every expert-layer… 27 arXiv — Machine Learning research 3d ago Beyond Pairwise Feedback: Listwise Vision-Language Supervision for Preference-Based Reward Learning arXiv:2608.25350v1 Announce Type: new Abstract: Vision-language models (VLMs) have emerged as a powerful source of supervision for reinforcement learning, enabling agents to leverage rich semantic knowledge during training. Inspired by the success of preference-based reward… 29 arXiv — NLP / Computation & Language research 3d ago A Storage-Retrieval Gap in Parametric Knowledge Graph Memory arXiv:2608.25489v1 Announce Type: cross Abstract: Graph retrieval-augmented generation places retrieved subgraphs into the model's context window at query time, paying a recurring token cost and exposing source data on every call. We study an alternative: compiling a knowledge… 21 arXiv — Machine Learning research 3d ago Interpreting Protein Language Model Embeddings via Orthogonal Projection for Protein Fitness Prediction arXiv:2608.25548v1 Announce Type: new Abstract: Recently, there has been a growing adoption of protein language models (PLMs) in biomedical science. Their embeddings provide a rich numerical representation of protein sequences which achieve state-of-the-art performance on… 4 arXiv — Machine Learning research 3d ago Tropospheric temperature and humidity profile retrieval from Meteosat Flexible Combined Imager based on deep learning arXiv:2608.25700v1 Announce Type: new Abstract: The Meteosat Third Generation (MTG) Flexible Combined Imager (FCI) offers new opportunities for tropospheric temperature and humidity profiling, at higher spatio-temporal resolutions and expanded spectral coverage relative to its… 7 arXiv — NLP / Computation & Language research 3d ago Less can be More: Relieving RAG Bottlenecks via Evidence Frontloading and Pressure-Adaptive Budgeting arXiv:2608.25115v1 Announce Type: new Abstract: Existing methods for improving Retrieval-Augmented Generation (RAG) efficiency mainly optimize downstream LLM generation, such as context compression or serving optimization. However, RAG is an end-to-end system, and its bottleneck… 29 arXiv — NLP / Computation & Language research 3d ago SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation arXiv:2608.25123v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) improves large language models by incorporating external knowledge without retraining, but existing methods often underuse the relational structure encoded in knowledge graphs. Graph-based RAG… 24 arXiv — NLP / Computation & Language research 3d ago Leveraging Speech Acts for Low-Data and Cross-Domain Conversation Derailment Forecasting arXiv:2608.25359v1 Announce Type: new Abstract: Conversational derailment forecasting aims to predict when online discussions will escalate into hostility, enabling proactive moderation. Existing approaches often struggle in low-data settings and to generalize across domains.… 30 arXiv — NLP / Computation & Language research 3d ago ReliableRAG: Combating Misinformation in Retrieval-Augmented Generation via Reliability-Guided Reasoning Chains arXiv:2608.25487v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has emerged as a powerful architecture for Question Answering (QA) by integrating external information into Large Language Models (LLMs). However, false, inaccurate, and misleading information… 23 arXiv — NLP / Computation & Language research 3d ago Generative vs. Encoder Large Language Models for ASR Evaluation: A Comparative Study arXiv:2608.25574v1 Announce Type: new Abstract: Automatic Speech Recognition (ASR) is typically evaluated using Word Error Rate (WER), which poorly reflects semantic similarity. While embedding-based metrics correlate better with human judgments, the respective roles of encoder… 23 arXiv — NLP / Computation & Language research 3d ago When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies arXiv:2608.25717v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is widely assumed to mitigate factual errors in large language models (LLMs), but it remains unclear whether retrieval uniformly compensates for missing knowledge. We study this question in a… 18 arXiv — NLP / Computation & Language research 3d ago Retrieved But Not Reliable: A Survey on Attacks, and Defenses in Retrieval-Augmented Generation arXiv:2608.24977v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances large language models by grounding outputs in external knowledge, improving factuality and reducing hallucinations. At the same time, the retrieval-augmented pipeline introduces new… 32 arXiv — NLP / Computation & Language research 3d ago Retrieve, Match, Escalate: Accurate and Scalable Product Linking with VLM-Distilled Cross-Encoders and Agentic VLMs arXiv:2608.25037v1 Announce Type: cross Abstract: Product linking, the entity-resolution task of mapping merchant product records to canonical catalog products, consolidates fragmented listings so downstream search, recommendation, and advertising see one clean entry per… 19 arXiv — NLP / Computation & Language research 3d ago PonsRAG: A Pons-Inspired RAG Bridging Cognitive Islands for Coordinated Long Narrative Reasoning arXiv:2608.25486v1 Announce Type: cross Abstract: Long Narrative Reasoning is an essential capability for processing and reasoning over complex narratives. While retrieval-augmented generation provides a promising framework, existing methods still face two critical challenges:… 27 arXiv — NLP / Computation & Language research 3d ago CaSKG: Counterfactual-Causal Skill Graphs for Scalable Agent Skill Retrieval arXiv:2608.25500v1 Announce Type: cross Abstract: Reusable skill libraries allow large language model (LLM) agents to reuse procedural knowledge across tasks, but they also turn memory access into a challenging retrieval problem. Full-library prompting preserves coverage at high… 25 Ollama releases dev-tools 3d ago v0.33.1 What's Changed MLX: Qwen3.8 Flash Next support cmake: make external compat patches idempotent MLX and llama.cpp update mlxrunner: add structured output support mlxrunner: avoid Metal GPU timeouts when loading models from slow storage New Contributors @pd95 made their first… 6 Hugging Face Daily Papers research 3d ago MARS: Multi-Specialist LLM Relay System for Competitive Programming Abstract MARS uses retrieval-augmented specialist agents for algorithmic topics to iteratively generate, test, and refine C++ solutions, improving competitive programming pass rates with lower cost. Generated by thinkingmachines/Inkling-Small Large Language Models excel at code… 31 The Information — AI news-outlet 3d ago Meta’s Settlement Ends One Big Battle But the Wider Legal War Looms Meta Platforms has fought one of its biggest court battles to an expensive draw. But lawyers scrutinizing Wednesday’s $18 billion settlement agreement with states said it won’t likely help the social media giant in its wider legal war over claims that its products harm underage… 16 r/LocalLLaMA community 3d ago How to Fine-Tune an LLM: An End-to-End Guide I ended up fine tuning a mistral 7b to outperform our costly foundational model and saved $300k. I previously thought that fine tuning was pointless (it's definitely not) and that all these problems could be solved with RAG (they can't). The truth is, a LoRA/QLoRA adapter is… 23 r/MachineLearning community 3d ago HNSW from scratch, benchmarked against FAISS: brute force still wins at 5,183 documents. [P] I built a retrieval engine with no retrieval libraries in the core — BM25 over a hand-rolled inverted index, HNSW from the Malkov & Yashunin paper, RRF to fuse them — mainly to understand HNSW rather than treat it as a black box inside a vector DB. FAISS, bm25s and rank_bm25… 35 r/LocalLLaMA community 3d ago little tool for offline wikipedia RAG I was bored and handwrote a tiny 100-line bash script to let an agent search for and read articles from an offline wikipedia archive during a regular chat. It's not particularly useful, but it's definitely neat and a big step up from llama-cli. I got surprisingly good results… 7 Hacker News — AI on Front Page community 4d ago RAG Is Simpler Than You Think Article URL: https://www.lighthousenewsletter.com/p/rag-is-simpler-than-you-think Comments URL: https://news.ycombinator.com/item?id=49445727 Points: 225 # Comments: 103 21 Page 1 of 10 · 500 articles Older →
