Melanie Sclar

According to our database1, Melanie Sclar authored at least 12 papers between 2020 and 2024.

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Bibliography

2024
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text.
CoRR, 2024

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds.
CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BotPercent: Estimating Bot Populations in Twitter Communities.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Symmetric Machine Theory of Mind.
Proceedings of the International Conference on Machine Learning, 2022

Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020
Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes.
CoRR, 2020


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