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Found 5 papers, 2 papers with code
Mitigating the Problem of Strong Priors in LMs with Context Extrapolation
We develop a new technique for mitigating the problem of strong priors: we take the original set of instructions, produce a weakened version of the original prompt that is even more susceptible to the strong priors problem, and then extrapolate the continuation away from the weakened prompt.
Performance of Bounded-Rational Agents With the Ability to Self-Modify
We show that this result is no longer true for agents with bounded rationality.
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
To what extent are effectiveness estimates of nonpharmaceutical interventions (NPIs) against COVID-19 influenced by the assumptions our models make?
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically-Rich Languages with BRNNs
We present LemmaTag, a featureless neural network architecture that jointly generates part-of-speech tags and lemmas for sentences by using bidirectional RNNs with character-level and word-level embeddings.
Sorting by Swaps with Noisy Comparisons
We study sorting of permutations by random swaps if each comparison gives the wrong result with some fixed probability $p<1/2$.
