most citedReason and Verify: A Framework for Faithful Retrieval-Augmented Generation

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cs.LG2026

Selective Backpropagation for Efficient Few-Shot Class-Incremental Learning

Eeham Khan, Abdulmoumen Al-Atrash, Ali Ayub

Few-Shot Class-Incremental Learning (FSCIL) requires models to continuously learn new classes from limited samples while retaining prior knowledge, under strict constraints on comp…

cs.LG2026

CLaC@FinMMEval 2026 Task 3: Sentiment-Augmented Deep Reinforcement Learning for Active Trading -- An Alpha-Reward Approach

Andrei Neagu, Eeham Khan, Leila Kosseim

This paper presents our system for Task 3 of the CLEF 2026 FinMMEval Lab, which requires daily long, flat, or short trading decisions for Bitcoin (BTC) and Tesla (TSLA) using news…