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Papers
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
ICML 2024
HyperFields: Towards Zero-Shot Generation of NeRFs from Text
ICML 2024
Implicit meta-learning may lead language models to trust more reliable sources
ICML 2024
Interpreting and Improving Large Language Models in Arithmetic Calculation
ICML 2024
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
ICML 2024
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
ICML 2024
Language Models as Science Tutors
ICML 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
ICML 2024
Linguistic Calibration of Long-Form Generations
ICML 2024
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
ICML 2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
ICML 2024
Memory Consolidation Enables Long-Context Video Understanding
ICML 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
ICML 2024
MOMENT: A Family of Open Time-series Foundation Models
ICML 2024
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
ICML 2024
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue
IJCAI 2024
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models
ICML 2024
QuIP$#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
ICML 2024
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
ICML 2024
RLVF: Learning from Verbal Feedback without Overgeneralization
ICML 2024
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection
MLHC 2024
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
ICML 2024
The Expressive Power of Low-Rank Adaptation
ICLR 2024
Understanding Finetuning for Factual Knowledge Extraction
ICML 2024