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Evaluating the Robustness of Neural Networks: An Extreme Value...
Our analysis yields a novel robustness metric called CLEVER, which is short for Cross Lipschitz Extreme Value for nEtwork Robustness. The proposed CLEVER score is attack-agnostic and is computationally feasible for large neural networks.
Forum - OpenReview
Promoting openness in scientific communication and the peer-review process
Djork-Arné Clevert | OpenReview
Promoting openness in scientific communication and the peer-review process
CLEVER: A Curated Benchmark for Formally Verified Code Generation
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 stages, making it a strong testbed for synthesis and formal reasoning.
Clever: A Curated Benchmark for Formally Verified Code Generation
1. 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.
Deep Graph Infomax - OpenReview
A new method for unsupervised representation learning on graphs, relying on maximizing mutual information between local and global representations in a graph. State-of-the-art results, competitive...
CATER: A diagnostic dataset for Compositional Actions & TEmporal...
We propose a new video understanding benchmark, with tasks that by-design require temporal reasoning to be solved, unlike most existing video datasets.
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.
TacticZero: Learning to Prove Theorems from Scratch with Deep...
Applying deep reinforcement learning to interactive theorem proving. The framwork supports the learning of both proof search strategies and tactic prediction, without using human examples.
KnowTrace: Explicit Knowledge Tracing for Structured...
" This paper introduces a clever incorporation of knowledge graph operation for structured RAG " (Reviewer ifaQ). " The proposed method is straightforward, intuitive, and easy to implement "; " It is innovative that the paper leverages the structured nature of reasoning paths to filter and refine generated trajectories for model training ...
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