News / #rag Tag Rag 500 articles archived under #rag · RSS Sign in to follow arXiv — Machine Learning research 4d ago Calibration-Preserving Pruning: Compression as a Reliability Contract arXiv:2608.23744v1 Announce Type: new Abstract: Split conformal prediction, not the pruning rule, supplies finite-sample marginal coverage once a pruned model is fixed independently of the conformal calibration split. We study the separate efficiency problem: can pruning… 31 arXiv — Machine Learning research 4d ago PuzzleKV: Page-Wise Low-Rank Decomposition for KV Cache Compression arXiv:2608.23843v1 Announce Type: new Abstract: Long-context inference in large language models (LLMs) is increasingly limited by the memory required for the key-value (KV) cache. KV cache compression addresses this problem by reducing the storage cost of previous tokens. Among… 9 arXiv — Machine Learning research 4d ago FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding arXiv:2608.23849v1 Announce Type: new Abstract: Negative sampling determines whether a knowledge graph embedding (KGE) model learns from informative counterexamples or wastes updates on implausible corruptions. Uniform negatives are diverse but easy, whereas hard-negative miners… 15 arXiv — Machine Learning research 4d ago SeisMamba: Low-Latency Single-Station Seismic Magnitude Estimation for Spatially Distributed Earthquake Early Warning arXiv:2608.24561v1 Announce Type: new Abstract: Rapid earthquake magnitude estimation is central to earthquake early warning, yet many operational systems depend on dense regional seismic networks and region-specific calibration. This creates a spatial coverage barrier for… 11 arXiv — Machine Learning research 4d ago Contextual Embedding Evidence for Main--Light Verb Distinctions in Urdu arXiv:2608.23645v1 Announce Type: cross Abstract: Urdu light verbs contribute schematic event-structural meaning while remaining lexically related to corresponding main verbs. This study tests representational predictions derived from Butt's analysis using contextual embeddings… 32 arXiv — Machine Learning research 4d ago MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models arXiv:2608.23646v1 Announce Type: cross Abstract: Molecular embedding models can serve as foundational infrastructure for computational chemistry and drug discovery, where reusable vector representations support property prediction, virtual screening, and retrieval. Most… 6 Hugging Face Daily Papers research 4d ago WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report Abstract WeMM-Embedding is a family of universal multimodal embedding models that align text, images, videos, and interleaved inputs in a shared space, achieving state-of-the-art retrieval and recommendation performance across public benchmarks and large-scale WeChat… 15 Hugging Face official-blog 4d ago Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers Back to Articles a]:hidden"> Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers Published August 26, 2026 Update on GitHub Upvote 1 Tom Aarsen tomaarsen :last-child]:mb-0"> Sentence Transformers is a Python library for using and training embedding… 25 NVIDIA Developer Blog official-blog 4d ago Restore LLM Inference Capacity in Seconds with Shadow Engine Recovery in NVIDIA Dynamo When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,... 10 r/LocalLLaMA community 4d ago NInfer 4090 Windows update is out with 1.5-2k t/s prefill, extended MTP, disk caching with DirectStorage, built-in llama.cpp WebUI and more I've made a few changes here and there to get nearly 2.1k tokens/sec prefill, ~210-230 tokens/sec decode with MTP7 (configurable, extended up to 15) on benchmarks. Also added disk caching options, up to 30GB per config by default for near-instant loads after server restart,… 10 r/LocalLLaMA community 4d ago ibm-granite/granite-4.2-30b · Hugging Face Granite-4.2-30B is the flagship reasoning model in the Granite 4.2 family. It delivers the strongest performance across reasoning-intensive tasks by leveraging built-in <think>...</think> chain-of-thought. It supports flexible thinking modes — full thinking (default),… 16 r/LocalLLaMA community 4d ago Qwen 4 architecture: What do we know? My best bet is the embedding-offloaded linear where the 51b n-grams track semantics and context, like 3.8 with its loss of real world knowledge bolted back on. Otherwise? Sparse full-attention with dense routing? 6b active route to 'heavy' layers when the n-gram gets stuck.… 5 r/MachineLearning community 4d ago How we built a SOTA search engine using PostgreSQL, pgvector, and Qwen3 embeddings [P] I wrote a technical breakdown of how search works on Papers with Code. The system combines keyword and semantic search, which produced better results than either approach alone. The stack includes: PostgreSQL with pgvector Qwen3-Embedding-0.6B for text embeddings Hugging Face… 31 r/LocalLLaMA community 5d ago tencent/WeMM-Embedding 9B/4B/2B WeMM-Embedding-9B is a universal multimodal embedding model built on Qwen3.5. It accepts text, images, videos, visual documents, and interleaved multimodal inputs, and returns a 4,096-dimensional L2-normalized embedding. Audio input is not supported.… 10 MIT Technology Review — AI news-outlet 5d ago I spent a day at a robot “carnival” in Shanghai. Here’s what I saw. Humanoid robots are having a moment in China. The popular machines are part of the country’s strategy to bring artificial intelligence into daily life. Embedding the technology into physical systems—an idea called embodied AI—was a key facet of China’s latest five-year plan, and… 28 Hugging Face Daily Papers research 5d ago Better Retrieval, Worse Robustness:How Multi-hop RAG Amplifies Upstream ASR Errors Abstract Retrieval-augmented generation extensions amplify automatic speech recognition errors in spoken multi-hop question answering, primarily through corrupted query entities. Generated by thinkingmachines/Inkling-Small Speech-based applications pass spoken queries through… 12 arXiv — NLP / Computation & Language research 5d ago KSE-Web: An Analysis of Hybrid Retrieval and LLM-Assisted Query Expansion for Low-Resource Khmer Semantic Search arXiv:2608.21365v1 Announce Type: new Abstract: As a low-resource language, Khmer presents several retrieval challenges, including limited annotated data, ambiguous word boundaries, weak support in multilingual embedding models, and frequent mixed Khmer-English usage. This paper… 31 arXiv — NLP / Computation & Language research 5d ago Beyond Two Bytes per Letter: Tokenization Overhead in Cyrillic AI Systems arXiv:2608.21384v1 Announce Type: new Abstract: Modern multilingual tokenizers often fragment Ukrainian and other underrepresented Cyrillic-script languages more heavily than English, creating disparities in cost and context capacity. We quantify this overhead across nine… 8 arXiv — NLP / Computation & Language research 5d ago Automating Multi-Hop RAG Evaluation via TRIAD: From Context Extraction to Validated Dataset Generation arXiv:2608.21558v1 Announce Type: new Abstract: Recent advances in LLMs and the adoption of RAG systems in industry have created a need for domain-specific question-answer datasets that can assess RAG performance on proprietary data. Existing datasets, such as HotpotQA,… 31 arXiv — NLP / Computation & Language research 5d ago Mitigating Database Leakage in RAG Systems with Keyword-Grounded Fact Substitution arXiv:2608.21656v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm for combining large language models (LLMs) with external knowledge sources. However, RAG systems remain vulnerable to prompt injection attacks, which may… 16 arXiv — NLP / Computation & Language research 5d ago FCPRAG: Fusion-Controller Parametric Retrieval-Augmented Generation for Stable Multi-Passage LoRA Injection arXiv:2608.21750v1 Announce Type: new Abstract: Parametric retrieval-augmented generation (PRAG) injects retrieved evidence into a large language model (LLM) through passage-specific LoRA adapters, reducing reliance on long in-context prompts. When multiple passages are… 32 arXiv — NLP / Computation & Language research 5d ago Lexical Coupling in GUI Element Grounding: Sentence Embeddings Track Labels across Mobile and Web arXiv:2608.21794v1 Announce Type: new Abstract: GUI grounding evaluations that expose UI elements as text metadata often treat high instruction-element embedding similarity as evidence of semantic grounding. Across three mobile and web benchmarks, we show that this… 28 arXiv — NLP / Computation & Language research 5d ago MCite-RL: Towards Reliable Multimodal RAG via Citation-enhanced Agentic Reinforcement Learning arXiv:2608.21808v1 Announce Type: new Abstract: Multimodal Retrieval-Augmented Generation (RAG) with visual citation is crucial for ensuring the traceability and verifiability of MLLMs. However, current RAG and SFT-based methods struggle to achieve robust cross-modal reasoning,… 18 arXiv — NLP / Computation & Language research 5d ago Convergence in Science, Divergence in Religion: Calibrated Framing Differences Across Wikipedia's Language Editions arXiv:2608.21821v1 Announce Type: new Abstract: When Wikipedia's language editions describe the same concept, how differently do they frame it? Prior work measures coverage gaps between editions; we measure framing distance for matched concepts. We analyze 2,799 valid articles… 30 arXiv — NLP / Computation & Language research 5d ago Training a Knowledge Base: Supervised Structure Learning for Agent-Curated Document Stores arXiv:2608.21829v1 Announce Type: new Abstract: Retrieval-augmented generation treats the document store as a frozen input, and the systems that instead let an agent curate one never measure what curation does to the store. We invert the framing: the knowledge base is the model.… 11 arXiv — NLP / Computation & Language research 5d ago ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agents arXiv:2608.21969v1 Announce Type: new Abstract: Humans have multiple levels of temporal abstractions on daily interaction and thinking, such as concept perception and strategic planning. Inspired by this nature, we propose a two-level hierarchical reinforcement learning (RL)… 35 arXiv — NLP / Computation & Language research 5d ago Machine learning and digital pragmatics: Which word category influences emoji use most? arXiv:2608.21975v1 Announce Type: new Abstract: This study examines the performance of the state-of-the-art MARBERT model in identifying the lexical/pragmatic category associated with emoji use on X within a digital pragmatics approach (DPA). A net corpus of 15856 Colloquial… 28 arXiv — NLP / Computation & Language research 5d ago RAG Collapse: LLM Responses Collapse When Retrieved Documents Are Self-Authored arXiv:2608.22118v1 Announce Type: new Abstract: LLM responses are based on the internet (via training or RAG), and AI is now used to generate a significant amount of content online (Paredes et al., 2026), creating the potential for a self-reinforcing feedback loop. Prior work… 26 arXiv — NLP / Computation & Language research 5d ago GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoning arXiv:2608.22479v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) enables LLMs to access external knowledge for answering knowledge-intensive questions. For complex multi-hop questions, multi-turn retrieval-augmented reasoning extends RAG into an iterative… 30 arXiv — NLP / Computation & Language research 5d ago GeoRisk-RAG: A Hierarchy-Aware Risk Framework for Improving RAG Reliability through Selective Answering arXiv:2608.22634v1 Announce Type: new Abstract: Current work on improving reliability in large language model (LLM)- generated answers has primarily leveraged Retrieval-Augmented Generation (RAG), knowledge-graph augmentation, and reinforcement learning. While these methods are… 37 arXiv — NLP / Computation & Language research 5d ago Iteration Without Elaboration: A Simple ReAct Architecture Suffices for Text-to-SQL Generation arXiv:2608.22651v1 Announce Type: new Abstract: Modern text-to-SQL systems have become increasingly elaborate, relying on schema-linking modules, retrieval-augmented prompting, candidate generation, and multi-stage refinement pipelines. While effective, these additions introduce… 27 arXiv — NLP / Computation & Language research 5d ago Better Retrieval, Worse Robustness:How Multi-hop RAG Amplifies Upstream ASR Errors arXiv:2608.22872v1 Announce Type: new Abstract: Speech-based applications pass spoken queries through automatic speech recognition (ASR) before any retrieval module, so ASR errors enter the pipeline as a fixed upstream constraint. We empirically test whether two extensions to… 33 arXiv — NLP / Computation & Language research 5d ago TSWAP: A Multilingual Retrieval-Augmented Thai Wellness Advisor arXiv:2608.22917v1 Announce Type: new Abstract: We present TSWAP, a deployed eight-language conversational wellness advisor grounded, via retrieval-augmented generation, in a verified knowledge base of Thai traditional medicine and certified wellness providers. An unmodified… 30 Hugging Face Daily Papers research 5d ago Same Agent, Different Answers: A Repeat-Aware Audit of Corpus-Induced Answer Churn in Retrieval-Augmented QA Abstract Retrieval-augmented QA systems can exhibit hidden answer churn during index updates without noticeable accuracy changes, motivating compatibility audits alongside utility evaluations. Generated by thinkingmachines/Inkling-Small A retrieval-augmented QA system can return… 21 r/LocalLLaMA community 5d ago Do not blindly delete your older models, some are still precious I have deleted tons and tons of older models to make space since I can't afford storage anymore. Easily 10TB... Anyways, I have been considering deleting DeepSeekV3.2 but decide to run it one more time. I have a problem I have been brainstorming about and have chatted locally… 27 MIT Technology Review — AI news-outlet 5d ago How to encourage smarter AI use in the classroom This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox, sign up here. Chatbots took many schools by surprise upon their release a few years ago. Suddenly, students carried an… 16 arXiv — Machine Learning research 6d ago Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study arXiv:2608.20406v1 Announce Type: new Abstract: Public health forecasts must respond to abrupt changes in surveillance data without over-extrapolating noise, reporting artifacts, or temporary trends. We evaluated autoregressive integrated moving average (ARIMA), random forest,… 32 arXiv — Machine Learning research 6d ago When Graph-JEPA Learns the Wrong Thing: Diagnosing and Repairing Category-Conditional Collapse arXiv:2608.20516v1 Announce Type: new Abstract: Joint-embedding predictive architectures are selected almost universally by linear probing and effective rank. We report a case where both read healthily while the representation carries zero usable instance information. We repair… 37 arXiv — NLP / Computation & Language research 6d ago Exploratory As-Analyzed No-Detection of Culturally-Marked Predicate-Triggered PII Amplification in a Synthetic-English RAG Probe: A Predicate-Resource-Confounded Audit arXiv:2608.20351v1 Announce Type: new Abstract: We ask whether stereotype-loaded queries about culturally marked people leak more personal information from a retrieval-augmented generation (RAG) system than otherwise-equivalent neutral queries. We pre-register a four-culture… 10 arXiv — NLP / Computation & Language research 6d ago TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detection arXiv:2608.20376v1 Announce Type: new Abstract: LLM agents can now generate realistic shilling profiles, fluent reviews, and coherent ratings at scale, systematically defeating recommender-system defenses. Text-only detectors that flag semantic drift in review embeddings are… 27 arXiv — Machine Learning research 6d ago If It Walks Like an Arbitrage: Protocol-Agnostic Detection with Decidable Structural Equivalence arXiv:2608.20377v1 Announce Type: cross Abstract: Ethereum transactions admit a canonical structural form. Each execution trace is built into an abstract syntax tree of token transfers grouped by call-frame nesting and reduced by a convergent term rewriting system of 15 rules to… 15 arXiv — NLP / Computation & Language research 6d ago Temporal Validity on Real Software Histories: Eliminating Stale-Fact Errors in Code-Assistant Memory over GitHub Fixes arXiv:2608.20685v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) has no model of time: when a fact changes across a coding session - a function is renamed, an endpoint moves, a dependency is bumped - RAG retrieves both the old and new value with… 17 arXiv — Machine Learning research 6d ago CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation arXiv:2608.20803v1 Announce Type: cross Abstract: Vector graphics are prized for their resolution independence, compact storage, and direct editability, making differentiable optimization of their parametric primitives an attractive goal. Yet classical rasterization is… 31 arXiv — NLP / Computation & Language research 6d ago COMET: Contrastive Motion-Enhanced Temporal Reasoning for Video Multimodal Large Language Models arXiv:2608.21030v1 Announce Type: cross Abstract: Video multimodal large language models have advanced significantly, yet fine-grained motion-temporal understanding remains fragile. The core bottleneck is not only sparse frame sampling, but also the lack of a complete temporal… 37 arXiv — NLP / Computation & Language research 6d ago Building and Evaluating a Synthetic Bengali Speech Resource for Telecom Customer Care arXiv:2608.20346v1 Announce Type: new Abstract: Speech systems used in customer-facing applications often require domain-specific language coverage. We present a synthetic Bengali speech dataset for telecom customer-care scenarios. The dataset contains 10,000 audio-text pairs,… 8 arXiv — NLP / Computation & Language research 6d ago Toward Auto-Research: Mining Falsifiable Research Ideas from Paper Knowledge Graphs with Categorical Structure arXiv:2608.20361v1 Announce Type: new Abstract: Automated research-idea generation systems built on large language models (LLMs) share a structural weakness: they reduce ideation to free-text recombination, random paper pairing, or embedding-similarity retrieval. The three… 25 arXiv — NLP / Computation & Language research 6d ago When Failures Propagate: Causal Failure Attribution in Agentic Retrieval-Augmented Generation arXiv:2608.20627v1 Announce Type: new Abstract: Agentic retrieval-augmented generation (RAG) interleaves retrieval, reasoning, and answer generation across multiple hops. A retrieval error at hop 1 can surface only as a wrong answer at hop 3, while later retrieval can also… 20 arXiv — NLP / Computation & Language research 6d ago Extractive Summarization for Arabic Documents Using SAraBERT with a Semantic Siamese Similarity Evaluation Metric arXiv:2608.20964v1 Announce Type: new Abstract: In this research, we introduce SAraBERT, an enhanced version of AraBERT which proposes inter-sentence transformer layers for extractive summarization tasks. To ensure that the summaries generated by SAraBERT achieve a high coverage… 21 arXiv — NLP / Computation & Language research 6d ago Scaling Unsupervised Word Alignment to Documents via Structural Constraints arXiv:2608.21023v1 Announce Type: new Abstract: Word alignment has traditionally been studied between sentences, but many cross-lingual tasks increasingly require correspondences across full documents. While recent multilingual embedding models can encode long inputs, we show… 27 arXiv — NLP / Computation & Language research 6d ago Jokes Aside: Measuring the Semantic Distance of Double Meanings arXiv:2608.21087v1 Announce Type: new Abstract: Large language models have significantly enriched the toolkit for computational humor research, particularly in the automated generation of jokes and puns. A key innovation, contextual embedding vectors, offers new opportunities to… 10 Page 2 of 10 · 500 articles ← Newer Older →
