LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper
•
2403.12968
•
Published
•
24
paper
-
-
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 57 -
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
Paper • 2403.09704 • Published • 31 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67 -
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
Paper • 2403.12881 • Published • 16 -
TnT-LLM: Text Mining at Scale with Large Language Models
Paper • 2403.12173 • Published • 19 -
RewardBench: Evaluating Reward Models for Language Modeling
Paper • 2403.13787 • Published • 21 -
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Paper • 2403.15042 • Published • 25 -
Can large language models explore in-context?
Paper • 2403.15371 • Published • 32 -
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
Paper • 2403.15447 • Published • 16 -
InternLM2 Technical Report
Paper • 2403.17297 • Published • 29 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 24 -
Localizing Paragraph Memorization in Language Models
Paper • 2403.19851 • Published • 13 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 39 -
LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models
Paper • 2404.01617 • Published • 6 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 44 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 35 -
Compact Language Models via Pruning and Knowledge Distillation
Paper • 2407.14679 • Published • 37 -
DDK: Distilling Domain Knowledge for Efficient Large Language Models
Paper • 2407.16154 • Published • 20