News / #rag Tag Rag 500 articles archived under #rag · RSS Sign in to follow arXiv — Machine Learning research 3h ago MAG: MAnifold Guided Semi-Supervised Multi-modal In-Context Learning arXiv:2608.12724v1 Announce Type: new Abstract: Few-shot in-context learning (ICL) with multi-modal large language models (MLLMs) enables task adaptation without parameter updates, but its performance is highly sensitive to the quality and coverage of the selected… 27 arXiv — Machine Learning research 3h ago Diagnosing JEPA World Models with Action-Conditioned Predictive Consistency arXiv:2608.12939v1 Announce Type: new Abstract: Joint-embedding predictive architectures (JEPAs) learn world models that predict in a compact latent space rather than in pixels, reducing the pressure to model nuisance appearance. Yet this provides no guarantee against visual… 15 arXiv — NLP / Computation & Language research 3h ago LLMs Know the Constraint But Do Not Use It: Activation Bottlenecks in Pragmatic Constraint Reasoning arXiv:2608.12321v1 Announce Type: new Abstract: When a salient surface cue competes with an implicit feasibility constraint, LLMs often fail -- but aggregate accuracy conflates genuine constraint inference with conservative defaulting. We formalize the distinction as conditional… 10 arXiv — NLP / Computation & Language research 3h ago Vision-Language Models are Fragile Multilingual Associators arXiv:2608.12333v1 Announce Type: new Abstract: Vision-language models must associate visual entities with textual attributes. Whether these associations or concept bindings remain stable when the language of the input changes is unexplored. We introduce M$^2$BIND, a benchmark… 37 arXiv — NLP / Computation & Language research 3h ago HC-RAG: Evidence-Centric Retrieval-Augmented Generation over Heterogeneous Financial Filings arXiv:2608.12335v1 Announce Type: new Abstract: Financial question answering over annual reports requires more than retrieving semantically similar passages. It often involves identifying relevant companies and fiscal years, locating standardized filing sections, collecting… 10 arXiv — NLP / Computation & Language research 3h ago The Embedder's Dilemma: LLMs Are Better, but at What Cost? arXiv:2608.12875v1 Announce Type: new Abstract: Should you replace your text-embedding pipeline with a large language model? We answer this with a controlled, cost-aware comparison of ten LLMs across six families and 26 embedding models (118M to 14B parameters) on 37 tasks… 24 arXiv — NLP / Computation & Language research 3h ago When Your Agent Opens the Chat App: Agent-Controlled Search over Raw Chat Logs Rivals Structured Memory arXiv:2608.12888v1 Announce Type: new Abstract: Agent-memory systems increasingly buy retrieval quality with structure, transforming raw conversation histories into summaries, embeddings, trees, or knowledge graphs before any question is asked. We ask how much of that benefit… 32 arXiv — NLP / Computation & Language research 3h ago HybridRAG-BN: A Retrieval-Augmented Framework with Fine-Tuned Verification for Bangla KBQA arXiv:2608.13004v1 Announce Type: new Abstract: Knowledge-base question answering (KBQA) systems rely on effective retrieval and reasoning mechanisms to generate accurate answers from external knowledge sources. However, developing reliable KBQA systems for low-resource… 19 arXiv — NLP / Computation & Language research 3h ago RAGSieve: Self-Referenced Local Contrast for Knowledge-Poison Detection in Retrieval-Augmented Generation arXiv:2608.13010v1 Announce Type: new Abstract: Retrieval-augmented generation treats an external corpus as inference evidence, allowing injected documents to promote attacker-chosen claims. Existing detectors depend on trusted references, specific attack artifacts, or global… 19 arXiv — NLP / Computation & Language research 3h ago Better Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question Answering arXiv:2608.13160v1 Announce Type: new Abstract: Multilingual retrieval-augmented generation (mRAG) equips large language models with access to globally distributed external knowledge for complex multilingual question answering. Recent approaches either translate retrieved… 15 arXiv — NLP / Computation & Language research 3h ago GEM: A Generative Embedding Model Bridging Reasoning and Retrieval arXiv:2608.13200v1 Announce Type: new Abstract: Modern LLMs excel at reasoning and instruction following, enabling users to express complex and diverse information needs. However, conventional retrievers largely rely on surface-level matching between queries and documents,… 32 arXiv — NLP / Computation & Language research 3h ago When Should Multi-Round RAG Stop? Structured Stopping Judgments and Retrieval Reduction in Search-R1 arXiv:2608.13237v1 Announce Type: cross Abstract: Multi-round retrieval-augmented generation (RAG) must decide when to stop searching as evidence accumulates. Because the deployed policy is determined by the first STOP on each trajectory, this is a sequential selection problem… 19 arXiv — NLP / Computation & Language research 3h ago OmniScientist: An Omni-Modal Omni-Discipline AI Scientist arXiv:2608.13558v1 Announce Type: cross Abstract: Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows, from hypothesis generation and code execution to manuscript preparation. Yet workflow coverage alone does not… 6 Hugging Face official-blog 14h ago Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets Back to Articles a]:hidden"> Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets Enterprise Article Published August 13, 2026 Upvote 4 Sundar Raghavan rsundaraws amazon Steven Palma imstevenpmwork amazon Cagatay Cali cagataydev… 34 arXiv — NLP / Computation & Language research 1d ago Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport arXiv:2608.11342v1 Announce Type: cross Abstract: Supervised fine-tuning (SFT) is a standard approach for adapting LLMs to a target distribution, but in settings such as personalization, where each author requires separate weight access, optimization, storage, and retraining,… 35 arXiv — Machine Learning research 1d ago Disentangling the Expressivity of RoPE arXiv:2608.11909v1 Announce Type: new Abstract: Two accounts recur in explanations of the success of rotary position embeddings (RoPE). Expressivity studies associate periodic position information with modular predicates, whereas mechanistic and long-context studies emphasize… 16 arXiv — Machine Learning research 1d ago Earth observation embeddings are effective sub-grid descriptors for probabilistic weather downscaling arXiv:2608.12271v1 Announce Type: new Abstract: Global weather reanalyses and forecasts resolve the evolving atmospheric state on coarse grids, but site-specific applications require predictions at arbitrary locations where near-surface conditions also depend on unresolved… 21 arXiv — NLP / Computation & Language research 1d ago Diffuse to Compress: Leveraging Diffusion LMs for Lossless Compression arXiv:2608.11249v1 Announce Type: new Abstract: We study the problem of lossless text compression, motivated by the rapid growth in the collection and storage of digital textual data - including plain text, source code, and structured formats such as XML - and by recent advances… 37 arXiv — NLP / Computation & Language research 1d ago LazyTrain: Limited-resource Allocation toward Zero-waste Yield Optimization in Large Language Model Training arXiv:2608.11919v1 Announce Type: new Abstract: Training large language models on limited hardware is increasingly a scheduling problem across GPU compute, host memory, PCIe transfer, and storage bandwidth. Existing offloading systems reduce GPU residency, and MegaTrain shows… 19 arXiv — NLP / Computation & Language research 1d ago LODESTAR: Trustworthy Entropy Is Navigated, Not Merely Measured -- Reinforced Polarizer Keeps a Frozen LLM from Being Confidently Misled by the Wrong Evidence arXiv:2608.11922v1 Announce Type: new Abstract: Predictive-distribution entropy makes a strong selection rule in retrieval-augmented question answering: across five QA benchmarks, keeping the candidate answer that a frozen respondent LLM produces with the lowest answer-token… 8 arXiv — NLP / Computation & Language research 1d ago QV-PIC: Query-Aware Visual Position-Independent Caching for Efficient RAG Serving arXiv:2608.12121v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) repeatedly prefills identical text chunks across queries, incurring redundant computations. Position-Independent Caching (PIC) mitigates it by reusing precomputed Key-Value (KV) across… 27 arXiv — NLP / Computation & Language research 1d ago SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges arXiv:2608.12129v1 Announce Type: new Abstract: While retrieval-augmented generation (RAG) has proven effective at giving LLMs access to external knowledge, mainstream dense-retrieval implementations remain inherently limited in handling structured constraints and multi-hop… 29 arXiv — NLP / Computation & Language research 1d ago A corpus-specific clinical RAG system matches or outperforms newer frontier LLMs on HealthBench arXiv:2608.12138v1 Announce Type: new Abstract: General-purpose large language models (LLMs) have recently been reported to match or exceed specialized clinical AI tools on medical benchmarks, but such comparisons draw on a narrow set of systems and on benchmarks developed… 10 arXiv — NLP / Computation & Language research 1d ago Investigating Learner-Aware Design of LLM-Generated Educational Feedback arXiv:2602.11650v2 Announce Type: replace Abstract: Although large language models (LLMs) show promise for generating educational feedback, it remains unclear how feedback should be designed (e.g., tone and information coverage) to support answer revision and learner acceptance… 12 Hugging Face Daily Papers research 1d ago CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG Abstract CoinRAG improves retrieval-augmented generation efficiency and accuracy by reusing fine-grained semantic nugget caches instead of full chunks. Generated by thinkingmachines/Inkling-Small Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited… 4 r/MachineLearning community 1d ago chessformer_lens demo: ablating 1 of a chess transformer's 128 attention heads makes the model stop finding Morphy's queen sacrifice [P] https://i.redd.it/ipz7i6ife1jh1.gif Notebooks to replicate on github!   submitted by   /u/Weird-Asparagus4136 [link]   [comments] 22 Hugging Face official-blog 1d ago Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis Back to Articles a]:hidden"> Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis Enterprise Article Published August 12, 2026 Upvote 1 Kyle Wiggers Ai2Comms allenai 📄 Tech Report: https://allenai.org/papers/olmoearth | 📊… 9 NVIDIA Developer Blog official-blog 1d ago How to Choose Full-Stack Observability for NVIDIA AI Factories AI infrastructure spans multiple layers, from compute and networking to storage, orchestration, and applications. When performance degrades, identifying the... 34 Hacker News — AI on Front Page community 1d ago Facebook is paying controversial creators to produce rage-bait content Article URL: https://www.abc.net.au/news/2026-08-06/ragebait-how-facebook-is-paying-controversial-creators/106940696 Comments URL: https://news.ycombinator.com/item?id=49269818 Points: 234 # Comments: 130 10 r/LocalLLaMA community 1d ago RAG for regular users? One of the reasons I got into local LLMs was the possibility of getting answers using my own documents and books (a few hundreds) instead of having to search through them manually. However since I'm not a data specialist or an engineer, RAG projects were too difficult for me,… 17 arXiv — NLP / Computation & Language research 2d ago Procedural Fairness Failures in RLHF from Preference Averaging arXiv:2608.10126v1 Announce Type: cross Abstract: Reinforcement Learning from Human Feedback (RLHF) aggregates heterogeneous preferences into a single reward model, assuming preference homogeneity. When preferences are heterogeneous, this aggregation induces a procedural… 13 arXiv — Machine Learning research 2d ago Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-Tuning arXiv:2608.10473v1 Announce Type: new Abstract: Offline-to-online (O2O) reinforcement learning aims to leverage policies pretrained on static datasets while improving them through online interaction. However, directly reusing an offline-trained critic can hinder online… 19 arXiv — NLP / Computation & Language research 2d ago The Multilingual Quantization Tax: Structural Collapse and Typological Fragility in Edge SLMs arXiv:2608.09941v1 Announce Type: new Abstract: While 4-bit weight quantization is critical for deploying Small Language Models (SLMs) on edge devices, evaluations of the resulting performance degradation-the quantization tax-remain overwhelmingly English-centric. We present a… 30 arXiv — NLP / Computation & Language research 2d ago Position Encoding in Transformers: From Absolute and Relative Methods to Rotary Position Embeddings and Long-Context Scaling arXiv:2608.10021v1 Announce Type: new Abstract: Self-attention models content-dependent interactions between tokens but does not by itself encode token order. Position encoding addresses this limitation by introducing absolute coordinates, relative distances, or… 11 arXiv — NLP / Computation & Language research 2d ago Similarity Gates Approve Reversals: A Validity Audit of Embedding-Cosine Thresholds in Agent Systems arXiv:2608.10216v1 Announce Type: new Abstract: Agent frameworks ship quality gates that compare text blocks by embedding-cosine similarity and decide at a fixed cutoff. Deduplication filters, semantic caches, drift guards, and answer grader gates deploy to answer the question:… 32 arXiv — NLP / Computation & Language research 2d ago Off-Axis, On Purpose: Where a Transformer Computes Concepts and Why it Does So arXiv:2608.10251v1 Announce Type: new Abstract: A transformer's answer lives on one axis: the direction its unembedding reads. Its intermediate states largely do not, and that off-axis position is usually treated as an obstacle to interpretation. We show it is functional. A… 38 arXiv — NLP / Computation & Language research 2d ago Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus arXiv:2608.10688v1 Announce Type: new Abstract: Purpose: Keyphrases are statistically and semantically important textual units that can also attract readers' attention during comprehension. However, existing keyphrase extraction (KPE) studies mainly focus on improving textual… 34 arXiv — NLP / Computation & Language research 2d ago SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information arXiv:2608.10692v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as mobile assistants, where a key challenge is leveraging personal information scattered across multiple applications (apps) to complete user instructions. However, due to the… 21 arXiv — NLP / Computation & Language research 2d ago Certify or Refuse: A Cross-Model Map for Selective Risk Control with Coverage Floors under Covariate Shift arXiv:2608.10893v1 Announce Type: new Abstract: Certified selective predictors attain whatever coverage they attain; operators impose an automation floor: answer at least a $\beta$-fraction of shifted target traffic with at most an $\alpha$-fraction of answers wrong. Under… 4 arXiv — NLP / Computation & Language research 2d ago Attention-Path Fragility as an Uncertainty Signal in Large Language Models arXiv:2608.11138v1 Announce Type: new Abstract: We propose that a model's uncertainty about a token is reflected not only in the breadth of its output distribution but also in whether a confident prediction is \emph{fragile} under perturbation of its attention pathways. We… 27 Hugging Face Daily Papers research 2d ago Beyond Sequence Order: Syntax-Informed Positional Embeddings for Transformers Abstract SiPE integrates a lightweight syntactic prior from dependency parses into positional embeddings across transformer architectures, improving syntactic generalization and language understanding without altering self-attention or increasing inference cost. Generated by… 15 r/MachineLearning community 3d ago When associative memory fails, are the synapses degraded? I measured them directly — they aren't. [R] Capacity in associative memory is usually treated as a storage problem — patterns superpose in a shared weight matrix until interference makes them unrecoverable. I built a sparse binary assembly network where the weights can be read exactly at any point (4-bit counters whose… 30 arXiv — Machine Learning research 3d ago Finite Constant Frontiers and Auditable Regret Certificates for Average-Reward Reinforcement Learning arXiv:2608.07725v1 Announce Type: new Abstract: Average-reward reinforcement-learning regret is known up to logarithmic factors, but the numerical content of published guarantees is difficult to compare because probability mode, structural parameter, logarithmic normalization,… 24 arXiv — Machine Learning research 3d ago LLM-Based Embeddings for Program Analysis and Optimization arXiv:2608.07894v1 Announce Type: new Abstract: Recent advances have highlighted the potential of machine learning, particularly Large Language Models (LLMs), for analyzing and optimizing programs. We present the first application of program embeddings from LLMCompiler---an LLM… 31 arXiv — Machine Learning research 3d ago Quality-Diversity Stress Tests for Process Reward Models:What Archive Coverage Can and Cannot Certify arXiv:2608.08008v1 Announce Type: new Abstract: Process reward models (PRMs) score intermediate reasoning steps and are widely used for search, ranking, and training, but optimization can exploit these learned proxies by increasing reward while turning correct reasoning into… 15 arXiv — Machine Learning research 3d ago Accurate Ensembles, Fragile Narratives: Multi-Scale Stacking and a Fidelity Audit of LLM-Generated Explanations for Credit Risk arXiv:2608.08126v1 Announce Type: new Abstract: Credit scoring increasingly relies on models whose decision logic cannot be read off their parameters, in tension with supervisory expectations that adverse decisions be explainable. A common proposal closes that gap with a… 12 arXiv — Machine Learning research 3d ago SAGE: SLO-Aware Adaptive Retrieval for Production RAG Systems arXiv:2608.08237v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems in production operate under strict service level objectives (SLOs) on tail latency and infrastructure cost. However, standard retrieval pipelines rely on fixed retrieval budgets that… 12 arXiv — Machine Learning research 3d ago Out-of-Distribution Federated Distillation with Domain-Aware Proxy arXiv:2608.08525v1 Announce Type: new Abstract: Federated Learning is a distributed machine learning paradigm that trains a global model by aggregating local clients without sharing private data of each client. Federated Distillation (FD) builds upon this paradigm by leveraging… 29 arXiv — Machine Learning research 3d ago Multi-Relational Knowledge Graph Enhanced Embedding for Trajectory-User Linking arXiv:2608.08646v1 Announce Type: new Abstract: Trajectory-User Linking (TUL) aims to identify the owner of an anonymous trajectory from a set of candidate users, providing a basis for user mobility analysis and personalized location-aware services. Existing methods often learn… 6 arXiv — NLP / Computation & Language research 3d ago DocAtlas: Long-Document Understanding as Mutable-State Interaction arXiv:2608.07527v1 Announce Type: new Abstract: Long-document understanding requires models to find and combine evidence across many pages, layouts, tables, figures, and charts. Existing retrieval-augmented systems usually select evidence from a static index before generation,… 29 Page 1 of 10 · 500 articles Older →
