Masha Fedzechkina

According to our database1, Masha Fedzechkina authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LLMs are not (consistently) Bayesian: Quantifying internal (in)consistencies of LLMs' probabilistic beliefs.
CoRR, May, 2026

What do your logits know? (The answer may surprise you!).
CoRR, April, 2026

ExpertLens: Activation steering features are highly interpretable.
Trans. Mach. Learn. Res., 2026

2025
Analyze the Neurons, not the Embeddings: Understanding When and Where LLM Representations Align with Humans.
CoRR, February, 2025

Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It's Complicated.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Naturalistic Head Motion Generation from Speech.
Proceedings of the IEEE International Conference on Acoustics, 2023

On the Role of LIP Articulation in Visual Speech Perception.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Towards a Perceptual Model for Estimating the Quality of Visual Speech.
CoRR, 2022

2020
Learners' bias to balance production effort against message uncertainty is independent of their native language.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learners sacrifice robust communication as a result of a social bias.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020


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