Daking Rai

Orcid: 0009-0003-3769-4974

According to our database1, Daking Rai authored at least 10 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Data-driven Circuit Discovery for Interpretability of Language Models.
CoRR, May, 2026

2025
Mechanistic Understanding of Language Models in Syntactic Code Completion.
CoRR, February, 2025

Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing.
CoRR, 2024

A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models.
CoRR, 2024

An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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