I don't see any threads on this model. Is it because it's dense and/or without-reasoning?
#retrieval-augmented
13 items
Is Granite-4.1-30b Overshadowed by Qwen3.6 & Gemma4 models? (www.reddit.com) Every RAG-based localization pipeline has the same blind spot (lingo.dev via hn) If a localization pipeline uses retrieval augmented generation to inject glossary terms into the model's context window, it has a retrieval recall problem that has never been measured. The pattern is universal: embed the input text, cosine…
RAG pipelines, leaking PII into vector databases and nobody's talking about it (comply-tech.co.uk via hn) Your RAG Pipeline Is Leaking Customer Data Into Vector Embeddings If you're building a RAG (Retrieval Augmented Generation) system on internal documents such as customer support history, knowledge base articles, or internal comms, there's…
LLM Program Optimization via Retrieval Augmented Search (arxiv.org) Recent work has demonstrated the potential of large language models (LLMs) for program optimization, a key challenge in programming languages. We propose a blackbox adaptation method called Retrieval Augmented Search (RAS) that performs be…
CausalRAG2: Hierarchical Causal Knowledge Graph Design for RAG (arxiv.org) Retrieval augmented generation (RAG) has enhanced large language models by enabling access to external knowledge, with graph-based RAG emerging as a powerful paradigm for structured retrieval and reasoning. However, existing graph-based me…
Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation (arxiv.org) SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges (arxiv.org) Retrieval-Augmented Generation (RAG) offers an effective approach for large language models to access external knowledge. However, existing methods rely on dense similarity retrieval and face inherent limitations in handling structured con…
Uncertainty-Aware Hybrid Retrieval for Long-Document RAG (arxiv.org) Retrieval augmented generation (RAG) depends critically on the quality and granularity of retrieved evidence. Large retrieval units preserve context but often introduce irrelevant content, which can dilute answer bearing evidence and worse…
RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema Matching (arxiv.org) ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation (arxiv.org) Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering (arxiv.org) HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation (arxiv.org) Embedding geometry plays a fundamental role in retrieval quality, yet dense retrievers for retrieval-augmented generation (RAG) remain largely confined to Euclidean space. However, natural language exhibits hierarchical structure from broa…
Retrieval Augmented Generation with Huggingface Transformers and Ray (huggingface.co)