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Collections including paper arxiv:2402.13598

user-embeddings

User Embedding Model for Personalized Language Prompting

Paper • 2401.04858 • Published Jan 10, 2024
User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 19
Representation Engineering: A Top-Down Approach to AI Transparency

Paper • 2310.01405 • Published Oct 2, 2023 • 5

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27, 2024 • 18
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Paper • 2402.16671 • Published Feb 26, 2024 • 26
Do Large Language Models Latently Perform Multi-Hop Reasoning?

Paper • 2402.16837 • Published Feb 26, 2024 • 24
Divide-or-Conquer? Which Part Should You Distill Your LLM?

Paper • 2402.15000 • Published Feb 22, 2024 • 22

RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation

Paper • 2402.04527 • Published Feb 7, 2024
User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 19

PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21, 2024 • 114
User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 19
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 12

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20, 2024 • 11
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20, 2024 • 17
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20, 2024 • 25
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20, 2024 • 47

Personalization

User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 19
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks

Paper • 2403.05185 • Published Mar 8, 2024 • 22
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention

Paper • 2402.10555 • Published Feb 16, 2024 • 34

User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 19
More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3, 2024 • 51

User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 19
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 39

User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 19
Wukong: Towards a Scaling Law for Large-Scale Recommendation

Paper • 2403.02545 • Published Mar 4, 2024 • 15

User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 19
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Paper • 2403.03853 • Published Mar 6, 2024 • 61
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples

Paper • 2404.07544 • Published Apr 11, 2024 • 19

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