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BiCC: Bidirectional Connected-Component Loss for Instance-Aware Segmentation

model-releasesarxiv-cs-cv

arXiv:2609.30223v1 Announce Type: new Abstract: Common segmentation losses aggregate errors voxel-wise, so lesions influence the objective in proportion to their volume, giving small but clinically cr

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Research

BiGraph-Diffuse: A Bidirectional Diffusion Language Model with Graph-Structured Retrieval For Mental Health Counseling

DGX agent

arXiv:2609.29519v1 Announce Type: new Abstract: Mental health disorders affect hundreds of millions of people around the world, yet access to professional counseling remains severely limited. AI-power

researcharxiv-cs-ai

25 Sept 2026

BiMamba2 Masked Discrete-Unit Prediction for Multilingual Speech Representation for Unsupervised Speech in the Wild Challenge

arXiv:2609.28758v1 Announce Type: cross Abstract: We describe our submission to the Unsupervised Speech in the Wild (UPS) Challenge at Interspeech 2026, a bidirectional Mamba-2 (BiMamba2) encoder trai

BLADE: Distilled LLM Regularization for Calibrated Knowledge Graph Completion

arXiv:2609.29487v1 Announce Type: new Abstract: Knowledge graph completion models optimize ranking, although many downstream applications require calibrated probabilities. We present BLADE, a variatio

Blockchain-Enabled Artificial Intelligence and AI Agents for Secure Data Sharing and Cybersecurity Applications

arXiv:2609.28843v1 Announce Type: cross Abstract: Blockchain and artificial intelligence (AI) are converging into a single infrastructural layer for securing data sharing, model integrity, and autonom

Body-Grounded Replanning for Physically Adaptive Manipulation

arXiv:2609.30024v1 Announce Type: new Abstract: Manipulation requires not only reasoning about the external environment, but also about the robot's physical condition. A strategy may remain geometrica

BranchShine-CR: Compact Multilingual IPA Transcription with Self-Conditioned CTC and Consistency Regularization

model-releasesarxiv-cs-lg

arXiv:2609.29069v1 Announce Type: new Abstract: We introduce BranchShine-CR, a 25M-parameter model for multilingual transcription into the International Phonetic Alphabet (IPA). It combines log-mel fe

Breaking the Environment Wall: Evolving LLM Agent Environments for Recursive Self-Improvement

arXiv:2609.29773v1 Announce Type: new Abstract: Many real-world tasks (e.g., office workflows, scientific experimentation) require LLM agents to interact repeatedly with their environments for context

BRFID: Toward Byzantine-Robust Federated Intrusion Detection

arXiv:2609.28599v1 Announce Type: cross Abstract: Flipping 60% of training labels from a single Byzantine client using label-flipping model poisoning self-degrades an attacker's own federated detectio

BridgeMem: Causal Dyadic Transition Residuals for Temporal Knowledge Graph Forecasting

arXiv:2609.29268v1 Announce Type: new Abstract: Temporal knowledge graph forecasting aims to infer future relational facts from the temporal structure of observed events. Existing forecasters mainly s

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation

arXiv:2505.11909v2 Announce Type: replace-cross Abstract: This paper addresses cross-modal medical image segmentation, focusing on MRI-CT transfer in a source-only domain generalization setting. Durin

Broadening Uncertainty Estimation for Audio Question Answering Across Methods, Formats, and Inputs

arXiv:2609.28879v1 Announce Type: cross Abstract: Audio-language models can produce confident answers unsupported by the audio, motivating uncertainty estimates that identify unreliable responses. We

C-space Analysis using Tropical Geometry

arXiv:2609.29355v1 Announce Type: new Abstract: Configuration space~(C-space) of a mechanism is a real variety describing the set of feasible configurations that it can attain. To understand the behav

C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks

arXiv:2609.29735v1 Announce Type: new Abstract: Long-horizon tasks require preserving and later recovering cross-session evidence under a bounded, query-blind memory budget. Existing compression can d

Calibrated Decision Models for Autonomous Penetration-Testing Harnesses: JEV and Laya as System One Decision Layers for LLM-Driven Pentest Agents

arXiv:2609.28940v1 Announce Type: cross Abstract: Autonomous penetration-testing harnesses use large language models (LLMs) for reconnaissance, exploitation, and reporting, but often rely on those sam

CaliPPer: quantifying, predicting and improving AI model performance for binding prediction

arXiv:2606.07258v1 Announce Type: cross Abstract: Binding prediction models accelerate therapeutic antibody and TCR discovery, but their performance on new datasets is unpredictable, often leading to

CALM: Current Aligned Link Manipulation for Single Arm Oversized Object Lifting

arXiv:2609.29017v1 Announce Type: new Abstract: Most robots manipulate objects solely with their end effectors, whereas humans flexibly leverage different body parts, such as the forearm and elbow, es

safetyarxiv-cs-ro

CAMP: Cooperative Arm-Hand Motion Planning in Constrained Spaces

arXiv:2609.29021v1 Announce Type: new Abstract: Coordinated arm-hand motion planning is fundamental to dexterous robotic manipulation in complex and constrained environments. A straightforward solutio

Can Classical Semantic-Extractive Summarization Be Evaluated in Hindi? A Replication Study

arXiv:2609.29090v1 Announce Type: cross Abstract: We replicate the distributional-semantics extractive summarisation method of Mohd, Jan and Shah (2020) and adapt it to Hindi, substituting a Devanagar

Tutorials

Can Frozen Hyperspherical Features Guide the Selection of Pseudo Masks?

arXiv:2609.30080v1 Announce Type: new Abstract: Foundation segmenters such as SAM return several plausible masks for an unlabeled image, and a student trained on the wrong one inherits its errors. Cho

tutorialsarxiv-cs-cv

Can Labor Markets Function in the Age of AI? The Evaluation Bottleneck in Hiring

arXiv:2609.30058v1 Announce Type: cross Abstract: AI-assisted job-search tools have become increasingly popular by making it easier to find and apply to jobs. But by making it easier for applicants to

Local Ai

Canopy: Exploiting Piecewise Smooth Tree Priors for Multi-Fidelity Bandits

arXiv:2609.30017v1 Announce Type: cross Abstract: Many LLM inference problems, including model routing, prefix-cache management, prompt trimming, and test-time search, can be viewed as optimization ov

local-aiarxiv-cs-ai

Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modeling

arXiv:2507.09211v3 Announce Type: replace Abstract: Observed records of climate extremes provide an incomplete view of plausible hazards, missing 'unseen' events beyond historical experience. Ignoring

CARE: Condition-Aware Representation Regularization for Diffusion Models

arXiv:2609.28561v1 Announce Type: cross Abstract: Recent advances in diffusion models highlight the importance of representation regularization for improving sample quality and training efficiency. Ho

safetyarxiv-cs-cv

CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning

arXiv:2609.29518v1 Announce Type: new Abstract: Reinforcement learning (RL) and on-policy distillation (OPD) are two representative paradigms for improving large language model reasoning. However, whe

safetyarxiv-cs-lg

CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion

arXiv:2609.29591v1 Announce Type: cross Abstract: BraTS local synthesis replaces masked regions in T1-weighted brain MRI with plausible tumor-free tissue while preserving observed anatomy. We present

safetyarxiv-cs-ai

CatSIM: A Categorical Image Similarity Metric

arXiv:2004.09073v2 Announce Type: replace Abstract: We introduce CatSIM, a new similarity metric for binary and multinary two- and three-dimensional images and volumes. CatSIM uses a structural simila

Certified Predictive Value-of-Advice Gating for Cost-Aware Language-Model Guidance in Reinforcement Learning

arXiv:2609.29548v1 Announce Type: new Abstract: Language-model advice can accelerate reinforcement learning, but calls are costly and returned actions may be stale or wrong. We formulate advice acquis

Certified Task-Conditioned Active Observability

arXiv:2609.28520v1 Announce Type: cross Abstract: Before acting upon an unobservable physical system, an autonomous agent must determine which latent distinctions govern downstream tasks, how many act

Tutorials

CFD Correction of Open Tip Clearance Flow in a Compressor Cascade Using VAE Latent Space Adaptation

arXiv:2609.28558v1 Announce Type: new Abstract: CFD predictions of open tip clearance flow in compressor cascades are subject to discrepancies relative to experiments, while experimental observations

tutorialsarxiv-cs-lg

ChunkRank: Model-Aware Text Chunking and Abstention-Aware Answer Selection for LLM Pipelines

arXiv:2609.29828v1 Announce Type: new Abstract: We present ChunkRank, an open-source Python library that derives chunk boundaries from a target model's tokenizer and context window, and selects an ans

CinematicVQA: Benchmarking Film-Grammar Reasoning in Large Vision-Language Models

model-releasesarxiv-cs-cv

arXiv:2609.28813v1 Announce Type: new Abstract: Cinematography, the craft of visual storytelling through framing, lighting, and camera operation, fundamentally shapes how audiences perceive and emotio

Claim-Gated Source-Risk Auditing for Generative Search

arXiv:2609.29145v1 Announce Type: new Abstract: A generative search answer can cite a supported passage yet omit a source relationship that changes its interpretation. We specify a claim-gated audit o

Classifier-Dependent Benefits of Pseudo-Labeling for Semi-Supervised Android Malware Attribution

arXiv:2609.29564v1 Announce Type: new Abstract: Detecting and classifying Android malware families remains challenging due to high feature dimensionality, class imbalance, and the high cost of expert-

Clinical Intent Extraction: A FHIR-Aligned Representation and the CIRCA Benchmark

arXiv:2609.29479v1 Announce Type: new Abstract: Prospective clinical actions, the follow-ups, orders, referrals, and instructions that deter-mine what happens to a patient next, are annotated today in

Clinical Knowledge Graphs for Chest X-Ray Device Reasoning

arXiv:2609.29536v1 Announce Type: new Abstract: Chest radiographs are routinely used to verify the position of catheters, tubes, and other support devices. Existing image models often return labels or

CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding

arXiv:2609.29474v1 Announce Type: cross Abstract: Public software repositories, like GitHub and Software Heritage Archive, store billions of files, yet extracting their implicit engineering knowledge

agentsarxiv-cs-cl

Coding Agents for Generalized Task and Motion Planning Problems

model-releasesarxiv-cs-ai

arXiv:2609.30233v1 Announce Type: cross Abstract: Task and motion planning (TAMP) problems remain difficult even with full observability and object-centric states because discrete decisions are tightl

COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages

arXiv:2609.28826v1 Announce Type: new Abstract: Machine translation (MT) for Indian languages remains constrained by the limited availability of high-quality, Indic-centric parallel corpora and evalua

Combating Instruction Conflict via Energy-Driven Latent Conflict Detection

arXiv:2609.08646v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed with hierarchical instructions, yet they remain vulnerable to conflicts in which user directi

Combining Evasive and Braking Reactions for Safety Reference Models in Automated Vehicles

arXiv:2609.29738v1 Announce Type: new Abstract: Computational models of careful and competent human drivers are essential for scenario-based evaluation of automated driving systems (ADS). However, mos

safetyarxiv-cs-ro

Common Covariance Geometry and Certification for Brownian Kernel Ladders

arXiv:2609.29525v1 Announce Type: new Abstract: A representation-adaptive kernel class produces, on a fixed sample, a union of reproducing-kernel Hilbert-space ellipsoids rather than one ellipsoid. We

Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment

arXiv:2410.19869v4 Announce Type: replace Abstract: This study conducted a comprehensive performance evaluation on YOLO11 (or YOLOv11) and YOLOv8, the latest in the 'You Only Look Once' (YOLO) series,

ComplexSync: High-Fidelity and Real-Time Lip Sync in Complex Scenarios

model-releasesarxiv-cs-cv

arXiv:2609.29225v1 Announce Type: new Abstract: Lip synchronization aims to generate visual lip dynamics that align precisely with speech audio. Despite the high generation quality of diffusion models

Hardware

Concurrent Split Learning Through Stable Client Clustering

arXiv:2609.29395v1 Announce Type: cross Abstract: Training with a fixed global batch limits how many distributed clients can provide examples in any one step. We examine a way to use additional server

hardwarearxiv-cs-lg

Tutorials

Confident but Wrong: A Constrained Decoding Diagnostic for Low-Resource Automatic Post-Editing

arXiv:2609.29680v1 Announce Type: new Abstract: Automatic Post-Editing (APE) for low-resource languages (LRLs) often fails to improve Machine Translation (MT), and the score alone cannot say why: whet

tutorialsarxiv-cs-cl

ConPro: Contrast Projection Pretraining for Label-Efficient Vessel Segmentation in DSA Sequences

arXiv:2609.30043v1 Announce Type: new Abstract: Dense vessel annotation in digital subtraction angiography (DSA) is labor-intensive, yet every unlabeled sequence records how contrast passes through th

Contact as a Decision Variable: Capability-Tradeoff Contact Selection for Legged Loco-Manipulation

arXiv:2609.30140v1 Announce Type: new Abstract: In this paper, we study the joint selection of an environmental support contact and a whole-body configuration for a prescribed loco-manipulation task.