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TopoPult-SSL: Gland-Mask-Free Cross-Device Meibomian Gland Segmentation via Self-Distilled Weak Clinical Priors
arXiv:2606.05347v1 Announce Type: new Abstract: Every new clinical imaging device creates a domain shift where dense gland masks are expensive yet cheap clinical signals -- eyelid outlines, Pult grades, morphometric ratios -- are routinely recorded. We present TopoPult-SSL, a two-stage framework for cross-device meibomian gland segmentation. Stage 1 adapts a source-trained model without target gland masks in the training loss, using four weak-prior anchors driven by target eyelid masks and...
Former England captain and manager Keegan reveals stage four cancer
Former England captain and manager Keegan reveals stage four cancer LONDON, June 1 : Former England captain and manager Kevin Keegan, 75, has revealed he has stage four cancer. His family and former club Newcastle United announced in January that the 1978 and 1979 European footballer of the year had been diagnosed with cancer and was undergoing treatment without providing details. Stage four means the disease has spread to other parts of the body from where it started.
Serena is latest of sport's top names to stage comeback
Serena is latest of sport's top names to stage comeback June 1 : Serena Williams has become the latest A-list athlete to plan an encore performance with a return to competitive tennis after a nearly four-year absence for the 23-times Grand Slam winner and mother of two. The 44-year-old received a wildcard entry into the doubles draw at this month's Queen's Club Championships, where British media reported she will play with 19-year-old Canadian Victoria Mboko. She ended months of speculation...
Section-Weighted Hybrid Approach for Legal Case Retrieval
Announce Type: new Abstract: Finding truly analogous precedents requires capturing legal reasoning beyond surface word overlap. We present a two-stage, section-aware framework for legal case retrieval that first segments raw judgments into facts, issues, decision, and reasoning using a deterministic large language model (LLM) offline. In Stage 1, we combine parallel lexical (BM25) and semantic (dense ANN) whole-document searches via Reciprocal Rank Fusion (RRF) to form a high-recall...
A unified multi-task framework enables interpretable chest radiograph analysis
arXiv:2606.03417v1 Announce Type: new Abstract: While multimodal deep learning has advanced medical imaging analysis, existing black-box systems \textcolor{black}{may remain confined to isolated tasks, often overlooking} the trust-sensitive nature of clinical diagnosis as a multi-task process. We propose IMT-CXR (Interpretable Multi-task Transformer for Chest X-ray Analysis), a framework that emulates radiologists' diagnostic workflow through three evidence-driven stages: 1) Disease...
Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text
arXiv:2605.29076v2 Announce Type: replace Abstract: LLMs have advanced text classification, yet existing paradigms face a trade-off: supervised (label only) fine-tuning is scalable but offers limited reasoning on complex text and lacks broader model transparency, while discrete prompt optimization offers human-readable instructions but struggles with performance and scalability. We introduce eXTC (eXplainable Text Classifier) with three progressive stages: (1) learning a Standard Operating...
Adaptive Pluralistic Alignment: A pipeline for dynamic artificial democracy
Announce Type: replace Abstract: Prevailing alignment methods target a fixed set of preferences and therefore risk forcing value lock-in as societal norms evolve over time. We introduce Adaptive Pluralistic Alignment (APA), a modular pipeline for updating pluralistically aligned AI systems to track evolving values and avoid value lock-in without repeating costly pretraining or large-scale data collection. APA has three stages: (1) learning compact personalized reward models via low-rank...
Claude Code-Driving Scenario Mining for the Argoverse 2 Challenge
Announce Type: new Abstract: We present our submission to the CVPR 2026 Argoverse 2 Scenario Mining Challenge. Our system uses a four-stage pipeline: (1) autonomous code generation via a Claude Code agent powered by GLM~5.1, (2) iterative training set screening with Timestamp Balanced Accuracy threshold 0.8 to curate few-shot examples, (3) semantic code review by a separate Claude Code session, and (4) Qwen3-VL scene-level verification to filter false positives.
Rajat Patidar gives Krunal Pandya the ultimate 'Aura' tribute
RCB's back-to-back IPL title triumph was built on complete team dominance, and Krunal Pandya once again proved why he remains one of the franchise's most valuable players. Following the historic campaign, captain Rajat Patidar made sure to acknowledge the all-rounder's contribution with a cool Instagram post featuring the caption. RCB won 11 matches during their title-winning run, including nine league-stage victories, Qualifier 1, and the final.
ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) systems implicitly assume mutual consistency among retrieved documents -- an assumption that frequently fails in practice. We present ConflictRAG, a conflict-aware RAG framework that detects, classifies, and resolves knowledge conflicts prior to answer generation. The framework introduces three contributions: (1) a two-stage conflict detection module combining a lightweight embedding-based MLP classifier with selective LLM...