Towards Faithful Reasoning in Remote Sensing: A...
Sep 18, 2025 · The semi-automated pipeline used to create it is a clever and practical approach to large-scale data generation. Strong and Comprehensive Empirical Validation: The paper …
EvoTest: Evolutionary Test-Time Learning for Self-Improving …
Sep 16, 2025 · A fundamental limitation of current AI agents is their inability to learn complex skills on the fly at test time, often behaving like “clever but clueless interns” in novel …
Submissions | OpenReview
Jan 22, 2025 · Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers Lorenzo Pacchiardi, Marko Tesic, Lucy G Cheke, Jose Hernandez-Orallo …
CLEVER: A Curated Benchmark for Formally Verified Code Generation
Jul 8, 2025 · TL;DR: We introduce CLEVER, a hand-curated benchmark for verified code generation in Lean. It requires full formal specs and proofs. No few-shot method solves all …
STAIR: Improving Safety Alignment with Introspective Reasoning
May 1, 2025 · One common approach is training models to refuse unsafe queries, but this strategy can be vulnerable to clever prompts, often referred to as jailbreak attacks, which can …
Contrastive Learning Via Equivariant Representation - OpenReview
Sep 25, 2024 · In this paper, we revisit the roles of augmentation strategies and equivariance in improving CL's efficacy. We propose CLeVER (Contrastive Learning Via Equivariant …
LongWriter: Unleashing 10,000+ Word Generation from Long …
Jan 22, 2025 · The work includes a new benchmark (LongBench-Write) for evaluating ultra-long generation. Reviewers highlighted the paper's clear identification of the problem, the clever …
Do Histopathological Foundation Models Eliminate Batch Effects?
Oct 11, 2024 · Deep learning has led to remarkable advancements in computational histopathology, e.g., in diagnostics, biomarker prediction, and outcome prognosis. Yet, the …
Bridging Symmetry and Robustness: On the Role of Equivariance in...
Sep 18, 2025 · As a result, the CLEVER-certified robustness bounds derived under the assumption of norm invariance do not apply directly to scale-equivariant networks. Instead, …
Super Deep Contrastive Information Bottleneck for Multi-modal...
May 1, 2025 · In multi-modal clustering, effectively capturing the complex relationships between modalities remains a challenge. For solving this, this paper propose a new super deep …