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MILES@EMNLP 2024

Posted on 2024-11-202025-04-08 by croyer

The MILES team was in Miami (Florida, USA) to present the paper Chain and Causal Attention for Efficient Entity Tracking, co-authored by Erwan Fagnou, Paul Caillon, Blaise Delattre and Alexandre Allauzen, during the 2024 conference on Empirical Methods in Natural Language Processing (EMNLP).

If you missed the conference, make sure to check the paper!

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Recent papers

  • What Makes Large Language Models Reason In (Multi-Turn) Code Generation?
  • Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
  • Differentially Private Gradient Flow based on the Sliced Wasserstein Distance

Recent posts

  • MILES@AISTATS 2025
  • MILES@ICLR 2025
  • New MILES paper in TMLR
  • New MILES paper in TMLR

Latest publications

  • What Makes Large Language Models Reason In (Multi-Turn) Code Generation?
  • Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
  • Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
  • Optimal Classification under Performative Distribution Shift
  • Chain and Causal Attention for Efficient Entity Tracking
  • Complexity Analysis of Regularization Methods for Implicitly Constrained Least Squares
  • Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
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Project-team Miles, LAMSADE, Université Paris Dauphine. Place du Maréchal de Lattre de Tassigny, 75 775 PARIS CEDEX 16, FRANCE