Ali Modarressi

According to our database1, Ali Modarressi authored at least 20 papers between 2021 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
With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots.
CoRR, February, 2026

Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
Steering MoE LLMs via Expert (De)Activation.
CoRR, September, 2025

MemLLM: Finetuning LLMs to Use Explicit Read-Write Memory.
Trans. Mach. Learn. Res., 2025

NoLiMa: Long-Context Evaluation Beyond Literal Matching.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory.
CoRR, 2024

Consistent Document-level Relation Extraction via Counterfactuals.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
RET-LLM: Towards a General Read-Write Memory for Large Language Models.
CoRR, 2023

Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

DecompX: Explaining Transformers Decisions by Propagating Token Decomposition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning.
CoRR, 2022

GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

AdapLeR: Speeding up Inference by Adaptive Length Reduction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations.
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021


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