output
20202025
most citedTransductive Information Maximization For Few-Shot Learning

49 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2025Show all

5 papers · 1 filter

cs.CL2025

Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog

Lautaro Estienne, Gabriel Ben Zenou, Nona Naderi +2

As AI systems take on collaborative roles, they must reason about shared goals and beliefs-not just generate fluent language. The Rational Speech Act (RSA) framework offers a princ…

cs.CL2025

LFAR: Accounting for Layerwise Dynamics to Improve Multimodal Adaptation of Language Models

Santiago Cuervo, Adel Moumen, Yanis Labrak +5

Text-pretrained language models (LMs) encode rich world knowledge, but adapting them to process and generate perceptual modalities such as audio and images while effectively levera…

cs.DS2025

Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search

Ziyad Benomar, Lorenzo Croissant, Vianney Perchet +1

One-max search is a classic problem in online decision-making, in which a trader acts on a sequence of revealed prices and accepts one of them irrevocably to maximise its profit. T…

cs.LG2025

A Theoretical Justification for Asymmetric Actor-Critic Algorithms

Gaspard Lambrechts, Damien Ernst, Aditya Mahajan

In reinforcement learning for partially observable environments, many successful algorithms have been developed within the asymmetric learning paradigm. This paradigm leverages add…

cs.DS2025

Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms

Spyros Angelopoulos, Christoph Dürr, Georgii Melidi

We initiate the systematic study of decision-theoretic metrics in the design and analysis of algorithms with machine-learned predictions. We introduce approaches based on both dete…