Blocking

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 129 papers with code (524 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder
  20 Nov 2019 8 repositories listed
  To solve the first problem, we introduce the new extremely lightweight portrait segmentation model SINet, containing an information blocking decoder and spatial squeeze modules.
• Neural Text Generation with Unlikelihood Training
  12 Aug 2019 6 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 4 pointer-only (licence)
  Neural text generation is a key tool in natural language applications, but it is well known there are major problems at its core.
• d-blink: Distributed End-to-End Bayesian Entity Resolution
  13 Sep 2019 4 repositories listed
  Entity resolution (ER; also known as record linkage or de-duplication) is the process of merging noisy databases, often in the absence of unique identifiers.
• Compression Artifacts Reduction by a Deep Convolutional Network
  27 Apr 2015 4 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Lossy compression introduces complex compression artifacts, particularly the blocking artifacts, ringing effects and blurring.
• Towards Effective Planning Strategies for Dynamic Opinion Networks
  18 Oct 2024 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  To address this, we first introduce a ranking algorithm to identify key nodes for disseminating accurate information, which facilitates the training of neural network classifiers that provide generalized solutions for…
• Towards Universal Dense Blocking for Entity Resolution
  23 Apr 2024 2 repositories listed
  Blocking is a critical step in entity resolution, and the emergence of neural network-based representation models has led to the development of dense blocking as a promising approach for exploring deep semantics in…
• SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models
  14 Mar 2024 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified
  Despite astonishing generation quality from recent diffusion models, we find that existing approaches for regional controllability are very slow (52 seconds for 512 ×512 image) while not compatible with acceleration…
• DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
  3 Jun 2021 2 repositories listed Syntology ran 6 of 9 samples · 3 unverified · 1 pointer-only (licence)
  Based on this observation, we propose a dynamic token sparsification framework to prune redundant tokens progressively and dynamically based on the input.
• SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
  1 Oct 2019 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We provide theoretical convergence guarantees showing that SlowMo converges to a stationary point of smooth non-convex losses.
• Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning
  17 May 2019 2 repositories listed
  In this paper we present Percival, a browser-embedded, lightweight, deep learning-powered ad blocker.
• Emergent Complexity via Multi-Agent Competition
  10 Oct 2017 2 repositories listed
  In this paper, we point out that a competitive multi-agent environment trained with self-play can produce behaviors that are far more complex than the environment itself.
• Deep Convolution Networks for Compression Artifacts Reduction
  9 Aug 2016 2 repositories listed
  Lossy compression introduces complex compression artifacts, particularly blocking artifacts, ringing effects and blurring.
• NoLoCo: No-all-reduce Low Communication Training Method for Large Models
  12 Jun 2025 1 repository listed
  The synchronization step itself is estimated to be one magnitude faster than the all-reduce used in DiLoCo for few hundred accelerators training over the internet.
• Pushing the Limits of Extreme Weather: Constructing Extreme Heatwave Storylines with Differentiable Climate Models
  12 Jun 2025 1 repository listed
  Understanding the plausible upper bounds of extreme weather events is essential for risk assessment in a warming climate.
• Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
  30 May 2025 1 repository listed
  To address this gap, we introduce Open CaptchaWorld, the first web-based benchmark and platform specifically designed to evaluate the visual reasoning and interaction capabilities of MLLM-powered agents through diverse…
• Progent: Programmable Privilege Control for LLM Agents
  16 Apr 2025 1 repository listed
  At its core is a domain-specific language for flexibly expressing privilege control policies applied during agent execution.
• Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
  10 Apr 2025 1 repository listed
  Here, we developed and evaluated deep learning architectures to predict North Atlantic-European (NAE) weather regimes, systematically assessing the role of remote drivers in improving S2S forecast skill of deep learning…
• CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
  20 Feb 2025 1 repository listed
  We evaluate Corba on two widely-used LLM-MASs, namely, AutoGen and Camel across various topologies and commercial models.
• Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
  18 Feb 2025 1 repository listed
  The application of reinforcement learning (RL) to dynamic resource allocation in optical networks has been the focus of intense research activity in recent years, with almost 100 peer-reviewed papers.
• Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach
  12 Feb 2025 1 repository listed
  Attribution tags form the foundation of modern cryptoasset forensics.
• DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
  3 Feb 2025 1 repository listed
  Influence minimization (IMIN) is the problem of manipulating the structures of an input graph (e.
• Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
  27 Jan 2025 1 repository listed
  Species Distribution Models (SDMs) often suffer from spatial autocorrelation (SAC), leading to biased performance estimates.
• Gandalf the Red: Adaptive Security for LLMs
  14 Jan 2025 1 repository listed
  Current evaluations of defenses against prompt attacks in large language model (LLM) applications often overlook two critical factors: the dynamic nature of adversarial behavior and the usability penalties imposed on…
• A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random Networks
  24 Oct 2024 1 repository listed
  FSPDA-STORM) finds an 𝒪( 1/√(T) )-stationary (resp.
• On Calibration of LLM-based Guard Models for Reliable Content Moderation
  14 Oct 2024 1 repository listed Syntology ran 4 of 6 samples · 2 unverified
  Large language models (LLMs) pose significant risks due to the potential for generating harmful content or users attempting to evade guardrails.
• Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question Answering
  12 Oct 2024 1 repository listed
  Long-term Video Question Answering (VideoQA) is a challenging vision-and-language bridging task focusing on semantic understanding of untrimmed long-term videos and diverse free-form questions, simultaneously…
• Evaluating Blocking Biases in Entity Matching
  24 Sep 2024 1 repository listed
  Entity Matching (EM) is crucial for identifying equivalent data entities across different sources, a task that becomes increasingly challenging with the growth and heterogeneity of data.
• Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
  30 Aug 2024 1 repository listed
  Our analysis, based on a causal graph modeling short-video recommendation, suggests that the release interval serves as a confounder, establishing a backdoor path between users and videos.
• Efficient LLM Scheduling by Learning to Rank
  28 Aug 2024 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  In this paper, we reexamine this assumption -- we show that, although predicting the exact generation length of each request is infeasible, it is possible to predict the relative ranks of output lengths in a batch of…
• Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver
  20 Aug 2024 1 repository listed
  Pringle maneuver (PM) in laparoscopic liver resection aims to reduce blood loss and provide a clear surgical view by intermittently blocking blood inflow of the liver, whereas prolonged PM may cause ischemic injury.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.