SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models Paper • 2503.07605 • Published 3 days ago • 62
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding Paper • 2502.08946 • Published 29 days ago • 184
Ranking LLM-Generated Loop Invariants for Program Verification Paper • 2310.09342 • Published Oct 13, 2023 • 4
Improving Large Language Model Fine-tuning for Solving Math Problems Paper • 2310.10047 • Published Oct 16, 2023 • 7
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model Paper • 2310.09520 • Published Oct 14, 2023 • 12
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning Paper • 2310.09478 • Published Oct 14, 2023 • 21
In-Context Pretraining: Language Modeling Beyond Document Boundaries Paper • 2310.10638 • Published Oct 16, 2023 • 30
Toward Joint Language Modeling for Speech Units and Text Paper • 2310.08715 • Published Oct 12, 2023 • 9
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules Paper • 2310.08992 • Published Oct 13, 2023 • 13
A Zero-Shot Language Agent for Computer Control with Structured Reflection Paper • 2310.08740 • Published Oct 12, 2023 • 16
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams Paper • 2310.08678 • Published Oct 12, 2023 • 14
The Consensus Game: Language Model Generation via Equilibrium Search Paper • 2310.09139 • Published Oct 13, 2023 • 14
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models Paper • 2310.08659 • Published Oct 12, 2023 • 27