Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
Large Language Models (LLMs) have the capacity to store and recall facts. Through
experimentation with open-source models, we observe that this ability to retrieve facts can …
experimentation with open-source models, we observe that this ability to retrieve facts can …
Pedagogical Alignment of Large Language Models (LLM) for Personalized Learning: A Survey, Trends and Challenges
MA Razafinirina, WG Dimbisoa, T Mahatody - Journal of Intelligent …, 2024 - scirp.org
This survey paper investigates how personalized learning offered by Large Language
Models (LLMs) could transform educational experiences. We explore Knowledge Editing …
Models (LLMs) could transform educational experiences. We explore Knowledge Editing …
Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis
Recent advances in diffusion models have demonstrated exceptional capabilities in image
and video generation, further improving the effectiveness of 4D synthesis. Existing 4D …
and video generation, further improving the effectiveness of 4D synthesis. Existing 4D …
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
Knowledge representation has been a central aim of AI since its inception. Symbolic
Knowledge Graphs (KGs) and neural Large Language Models (LLMs) can both represent …
Knowledge Graphs (KGs) and neural Large Language Models (LLMs) can both represent …
MULFE: A Multi-Level Benchmark for Free Text Model Editing
Adjusting the outdated behaviors of large langugae models (LLMs) after deployment
remains a significant challenge. It motivates the model editing research, which is however …
remains a significant challenge. It motivates the model editing research, which is however …
Enhancing multi-hop reasoning through knowledge erasure in large language model editing
Large language models (LLMs) face challenges with internal knowledge inaccuracies and
outdated information. Knowledge editing has emerged as a pivotal approach to mitigate …
outdated information. Knowledge editing has emerged as a pivotal approach to mitigate …
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
Large multi-modal models inevitably decay over time as facts change and previously
learned information becomes outdated. Traditional approaches such as fine-tuning are often …
learned information becomes outdated. Traditional approaches such as fine-tuning are often …