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Filter by type: Paper273
- 18 days ago
arxiv.orgUniversalRAG routes queries for multimodal retrieval
Published on January 14, 2026, the text describes a framework that routes queries to modality-specific corpora and retrieves knowledge across modalities and levels of granularity.
- 18 days ago cs.yale.edu
Verifying stack limits in C programs
A 2014 article by Q. Carbonneaux and coauthors addresses end-to-end verification of stack usage limits in C programs, a practical topic for teams that need to control memory resources.
- 18 days ago arxiv.org
VL-JEPA proposes a different way to predict text for visual tasks
An article published on December 26, 2025 describes VL-JEPA, which predicts continuous target-text embeddings and aims to prioritize task meaning while reducing sensitivity to wording variations.
Research worm adapts attacks to vulnerability classes
A publication dated June 3, 2026 describes a research worm that adapts its attack logic and replicates across Linux, Windows, and IoT systems in a corporate-network test.
- 18 days ago nvidia.fr
GPU optimization: from research to measurement
A publication dated July 4, 2026, collects articles and talks on GPU performance, covering loop unrolling, latency hiding, dense linear algebra, and GPU memory.
RoPoLL proposes geometric median for LLM judge panels
Published on July 2, 2026, the paper formalizes LLM judge panels under a contamination model and introduces RoPoLL, tested with 13 judges and corruption rates up to 50%.
Autonomous research agents: applying the approach
Published on September 9, 2025, the paper describes reinforcement-learning-trained agents that search the web, navigate, use Python, and summarize prior results when context is limited.
- 18 days ago cs.cmu.edu
Parallel algorithms and memory hierarchy
Guy Blelloch’s book covers parallel algorithms and memory hierarchy, topics relevant to assessing the performance of systems that process tasks in parallel.
- 18 days ago arxiv.org
Compressed attention to reduce costs in long-context models
Published on October 7, 2025, the paper presents an approach that compresses queries, keys, and values to perform attention in a smaller latent space, targeting compute and KV-cache costs.
- 18 days ago dl.acm.org
Stream computing: Brook’s model for GPUs
The 2004 paper describes kernels processing stream elements as an alternative to graphics APIs and shaders, a model that can inform evaluations of GPU workloads.
- 18 days ago arxiv.org
Continuous Thought Machines explore neuron-level dynamics
Published on October 6, 2025, the paper presents a model using neuron-level processing and synchronization as central representations, inspired by biological neural dynamics.
- 18 days ago arxiv.org
EfficientRAG reduces LLM calls for multi-hop questions
An article published on August 17, 2024 presents a retrieval method that generates queries iteratively without calling an LLM at every step.
- 18 days ago arxiv.org
ESFT targets task-relevant experts in sparse LLMs
Published on July 5, 2024, the paper studies parameter-efficient fine-tuning for Mixture-of-Experts models and presents ESFT, which trains experts selected for their relevance to the task.
- 18 days ago arxiv.org
FACT proposes iterative rewriting to retrieve multiple facts
Published on October 30, 2024, the paper presents a context-rewriting approach for retrieving multiple facts and examines incomplete answers from lengthy contexts.
- 18 days ago arxiv.org
Gradient descent viewed as attention over examples
Published on February 6, 2023, the article interprets gradient-trained linear layers as memories of training examples and describes predictions as unnormalized attention over training experience.
HPAC-IDS: intrusion detection with hierarchical attention
An article published on January 14, 2025 describes a method that analyzes network-packet segments and reports promising results on CIC-IDS2017.
- 18 days ago arxiv.org
InfLLM-V2 switches between dense and sparse attention
Published on October 13, 2025, the paper presents an attention system that switches between dense and sparse modes for short and long sequences.
- 18 days ago arxiv.org
LightRAG combines graphs with two-level retrieval
A description published on October 13, 2024 presents a RAG framework combining graph-based text indexing with low- and high-level retrieval for entity-specific and conceptual information.
- 18 days ago arxiv.org
MaskGCT: zero-shot speech synthesis and voice cloning
Published on October 24, 2024, the MaskGCT paper presents a text-to-speech model that the publication says can clone a voice from five seconds of speech.
- 18 days ago arxiv.org
MoE-CL proposes continuous LLM adaptation
Published on October 6, 2025, the paper presents a continuous tuning method using LoRA experts and reports evaluations on the MTL5 and Tencent3 benchmarks, plus an A/B test.
- 18 days ago arxiv.org
RLPT uses pretraining data for reinforcement learning
Published on September 25, 2025, the paper presents a way to apply reinforcement learning to pretraining data without new human annotations, and reports benchmark gains for Qwen3-4B-Base.
- 18 days ago arxiv.org
Router-R1 explores reinforcement learning to route LLMs
Published on October 18, 2025, the text presents Router-R1, which alternates between reasoning and calls to multiple models and reports evaluations on seven question-answering benchmarks.
- 18 days ago arxiv.org
VideoRAG expands information retrieval to video
On January 14, 2025, KAIST research presented a framework that retrieves videos relevant to queries and combines visual and textual information in multimodal RAG responses.
163 procedures for scientific research agents
The article presents an open library of 163 procedures for research agents across 16 fields, including genomics, cheminformatics, medical imaging and study design.
Ablations show how to evaluate coding-agent harnesses
A paper published on September 26, 2026 reports 176 configurations tested on two benchmarks and describes differing effects from context summarization and explicit planning.
Agents can decide when to seek more context
An article published on August 22, 2026 models interactive agents’ choice between acting on assumptions and seeking context, accounting for the costs of those actions.
- 19 days ago arxiv.org
Continuous learning: evaluating models updated after deployment
A publication dated September 29, 2026 describes a 7B model updated with prediction-market data and evaluated in continuous backtests over 390 days.
AREAL2.0 links real tasks to agent improvement
Published on July 10, 2026, the article presents a continuous-learning architecture that turns real tasks into training data and triggers policy updates.
Practical attacks on privacy and availability in 4G/LTE networks
A 2015 article examines practical attacks affecting privacy and availability in 4G/LTE mobile communication systems.
- 19 days ago arxiv.org
Attention in long-context Transformers
Published on September 15, 2026, the paper analyzes attention rank collapse as context grows and studies rescaling scores by a polylogarithmic factor.
- 19 days ago arxiv.org
Natively trainable sparse attention for long contexts
An article published on September 26, 2026, presents NSA, a sparse attention approach combining algorithmic innovations and hardware-aligned optimizations for more efficient long-context modeling.
- 19 days ago arxiv.org
Attention sinks and rescaling in transformers
Published on October 5, 2026, the paper examines attention sinks and residual sinks in large language models and proposes how these outliers, softmax attention, and RMSNorm rescale other components.
- 19 days ago docs.nvidia.com
NVIDIA CUDA guide update calls for a technical review
NVIDIA's publication says the CUDA C++ Programming Guide was updated in June 2026. Companies developing GPU software can review their practices and document the standards used across projects.
Self-improvement in agents: making adaptation controllable
A survey published on July 16, 2026 examines modern agentic systems as foundation models integrated with prompts, memory, and tools. Its system-level view helps identify where updates happen and how to make them controllable.
Autodata generates training data with agent loops
Published on July 6, 2026, the Autodata method uses weak and strong solvers to select questions that distinguish model performance.
Automating scientific review while keeping human oversight
The article, published on June 29, 2026, frames scientific review at scale as a systems challenge and proposes four levels of collaboration between AI and humans.
- 19 days ago eprint.iacr.org
Secure backups for high-value secret keys
An article published on September 24, 2026, discusses backing up high-value secret keys and identifies their protection as a security concern.
BINEVAL makes LLM evaluations more interpretable
Published on June 27, 2026, the post describes a binary-question evaluation that matched or outperformed UniEval and G-Eval on three datasets without training.
- 19 days ago arxiv.org
Local-first search: retrieval for sensitive data
A paper published on June 30, 2026 proposes a framework for privacy-focused information retrieval, with indexes, models, and inference on users’ devices.
C*: Bringing programming and verification closer in C
An article dated September 8, 2026 presents C*, an approach to bring conventional C programming closer to formal verification.
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