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20212026
most citedEffective prevention of semantic drift as angular distance in memory-less continual deep neural networks

1 citations · 1 across the 4 of their papers we have counts for

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cs.LG2026

Same molecule, Different Knowledge: Cross-Identifier Binding Failures in LLMs For chemistry

Khouloud Saadi, Di Wang

Chemical AI workflows routinely represent the same molecule through multiple co-referring identifiers, including trivial names, IUPAC names, and SMILES, implicitly assuming that th…

cs.LG2026

One Teacher, Many Views: Reducing Reference Sensitivity in On-Policy Self-Distillation

Khouloud Saadi, Di Wang

On-policy self-distillation (OPSD) improves reasoning by training a model on its own trajectories with dense token-level supervision from a privileged copy conditioned on a referen…

cs.LG2026

Validity-Calibrated Reasoning Distillation

Khouloud Saadi, Di Wang

Reasoning distillation aims to transfer multi-step reasoning capabilities from large language models to smaller, efficient ones. While recent methods have shown promising gains, th…

cs.LG2024

Dissecting Representation Misalignment in Contrastive Learning via Influence Function

Lijie Hu, Chenyang Ren, Huanyi Xie +5

Contrastive learning, commonly applied in large-scale multimodal models, often relies on data from diverse and often unreliable sources, which can include misaligned or mislabeled…

cs.LG2021★ 1 cited

Effective prevention of semantic drift as angular distance in memory-less continual deep neural networks

Khouloud Saadi, Muhammad Taimoor Khan

Lifelong machine learning or continual learning models attempt to learn incrementally by accumulating knowledge across a sequence of tasks. Therefore, these models learn better and…