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recoverable    音标拼音: [rɪk'ʌvɚəbəl]
a. 可回复的,可痊愈的,可收回的

可回复的,可痊愈的,可收回的

recoverable
可恢复

recoverable
adj 1: capable of being recovered or regained; "recoverable
truth of a past event" [ant: {irrecoverable},
{unrecoverable}]


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英文字典中文字典相关资料:


  • Embodied-R1: Reinforced Embodied Reasoning for General Robotic . . .
    The application of RLVR methods in embodied AI is still rare This paper takes a clever approach by not training end-to-end directly; instead, it uses reinforcement learning to train a perception module, and then passes the perception outputs to a motion planner for action execution
  • LLMs Get Lost In Multi-Turn Conversation | OpenReview
    Its novel methodology, "Sharded Simulation," provides a scalable and clever method to adapt existing benchmarks for multi-turn context evaluation The robust experimentation, consisting of large-scale tests (15 LLMs, 6 tasks), provides strong evidence for the findings
  • The Clever Hans Mirage: A Comprehensive Survey on Spurious. . .
    This survey on spurious correlations uses the Clever Hans metaphor to motivate the problem, formalizes a group-based setup g=(y,a) with core metrics (worst-group, average-group, bias-conflicting), and explains why models latch onto shortcuts (simplicity bias, training dynamics)
  • ECCV - OpenReview
    Welcome to the OpenReview homepage for ECCV
  • Forum - OpenReview
    Promoting openness in scientific communication and the peer-review process
  • Efficient Edge Inference by Selective Query | OpenReview
    Especially, the routing module is trained via proxy supervision (using oracle), which is a clever way to incorporate all modules in the training Experiments are carefully designed and performed More importantly, actual MCU systems are used for the evaluation “Hybrid accuracy” seems to be a good metric for these two-stage inference systems
  • Clever: A Curated Benchmark for Formally Verified Code Generation
    We introduce CLEVER, the first curated benchmark for evaluating the generation of specifications and formally verified code in Lean The benchmark comprises of 161 programming problems; it evaluates both formal speci-fication generation and implementation synthesis from natural language, requiring formal correctness proofs for both
  • Djork-Arné Clevert - OpenReview
    Promoting openness in scientific communication and the peer-review process
  • 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
  • On the Planning Abilities of Large Language Models : A Critical . . .
    While, as we mentioned earlier, there can be thorny “clever hans” issues about humans prompting LLMs, an automated verifier mechanically backprompting the LLM doesn’t suffer from these We tested this setup on a subset of the failed instances in the one-shot natural language prompt configuration using GPT-4, given its larger context window





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