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  • MEASURING DIVERSITY IN DATASETS - OpenReview
    ABSTRACT Machine learning (ML) datasets, often perceived as “neutral,” inherently encap-sulate abstract and disputed social constructs Dataset curators frequently employ value-laden terms such as diversity, bias, and quality to characterize datasets De-spite their prevalence, these terms lack clear definitions and validation in datasets Our research explores the implications of this
  • Any. . . MAPS. . . . ? | Warrior Cats: Untold Tales
    ~ Welcome to the Warrior Cats: Untold Tales forum! Here you can discuss the game, find tips and helpful hints, or just talk with other fans! ~
  • EVALUATING THE ROBUSTNESS OF NEURAL NET : A E VALUE THEORY APPROACH
    4 THE CLEVER ROBUSTNESS METRIC VIA EXTREME VALUE THEORY tack-agnostic score 2 proof deferred to Appendix B 3 proof deferred to Appendix C t of a classifier and Lj q;x0 is defined as maxx2Bp(x0;R) krg(x)kq Although rg(x) can be calculated easily via back propagation, computing Lj q;x0 is more involved be
  • Jonathan Gratch - OpenReview
    ACII 2021 CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems Kushal Chawla, Jaysa Ramirez, Rene Clever, Gale M Lucas, Jonathan May, Jonathan Gratch 2021 (modified: 04 Jan 2022) NAACL-HLT 2021 Towards Emotion-Aware Agents For Negotiation Dialogues Kushal Chawla, Rene Clever, Jaysa Ramirez, Gale M Lucas
  • EXPLAINABLE DEEP ONE-CLASS CLASSIFICATION - OpenReview
    Published as a conference paper at ICLR 2021 “Clever Hans” effect in memory of the horse Hans, who could correctly answer math problems by reading its master2 We adapt this experiment to one-class classification by swapping our standard setup and train FCDD so that the “horse” class is anomalous and use ImageNet as nominal samples
  • Greg Durrett - OpenReview
    CLEVER: A Curated Benchmark for Formally Verified Code Generation Amitayush Thakur, Jasper Lee, George Tsoukalas, Meghana Sistla, Matthew Zhao, Stefan Zetzsche, Greg Durrett, Yisong Yue, Swarat Chaudhuri Published: 18 Sept 2025, Last Modified: 29 Oct 2025 NeurIPS 2025 Datasets and Benchmarks Track poster
  • A Protocol-Driven Platform for Agent-Agnostic Evaluation of LLM Agents
    Hook it up with TaskConfig—our handy layer for crafting clever input templates and grabbing outputs steadily via JMESPath—and switching agents turns effortless, no extra fiddling needed Our benchmark structure ensures reproducibility by locking in versions
  • The Pitfalls of Next-Token Prediction - OpenReview
    This verifies our hypothesis that the Clever Hans cheat absorbs away supervision that is critical to learn the first token At the end of this section, we provide more intuition for how the absence of Clever Hans cheat, allows the teacherless models to solve this task that language has enough redundancy to be conducive for next-token prediction
  • Counterfactual Debiasing for Fact Verification
    579 In this paper, we have proposed a novel counter- factual framework CLEVER for debiasing fact- checking models Unlike existing works, CLEVER is augmentation-free and mitigates biases on infer- ence stage In CLEVER, the claim-evidence fusion model and the claim-only model are independently trained to capture the corresponding information
  • M : L -TIME SEQUENCE MODELING WITH SPACES - OpenReview
    Language Modeling Mamba is the first linear-time sequence model that truly achieves Transformer-quality performance, both in pretraining perplexity and downstream evaluations With scaling laws up to 1B parameters, we show that Mamba exceeds the performance of a large range of baselines, including very strong modern Transformer training recipes based on LLaMa (Touvron et al , 2023) Our 1 4B





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