3 papers
cs.AI2026
PALoRA: Projection-Adaptive LoRA for Preserving Reasoning in Large Language Models
Mustafa Hayri Bilgin, Mariam Barry, Albert Bifet +2
Efficiently updating Large Language Models (LLMs) with new or evolving factual knowledge remains a central challenge, as even parameter-efficient adaptation can erode previously ac…
cs.IR2026
CASTLE: Contrastive and Seed-Guided Training for Cold-Start Natural Language Search
Wendy Ran Wei, Hao Li, Weiwei Guo +9
Deploying natural language search systems presents a critical cold-start challenge: no real user queries to learn linguistic patterns, and no relevance labels to train ranking mode…
cs.AI2024
Neural networks for abstraction and reasoning: Towards broad generalization in machines
Mikel Bober-Irizar, Soumya Banerjee
For half a century, artificial intelligence research has attempted to reproduce the human qualities of abstraction and reasoning - creating computer systems that can learn new conc…