SAEVerbalizer: Generating Explanations for Sparse Autoencoder Features via Representation Verbalization
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Papers
Memory for Large Language Models
EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery
Data and models for the paper "Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards".
Boundary-Guided Policy Optimization for Memory-Efficient RL of Diffusion Large Language Models
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THU-KEG/LLaDA-8B-BGPO-math
Reinforcement Learning • 8B • Updated • 16 • 1 -
THU-KEG/LLaDA-8B-BGPO-code
Reinforcement Learning • 8B • Updated • 13 • 1 -
THU-KEG/LLaDA-8B-BGPO-countdown
Reinforcement Learning • 8B • Updated • 11 • 1 -
THU-KEG/LLaDA-8B-BGPO-sudoku
Reinforcement Learning • 8B • Updated • 12 • 1
Scaling Iterative Reinforcement Learning with Interleaved Compression
OpenSAE checkpoints for LLaMA 3.1 8B base model
EMNLP2024 Main Conference: 《Aligning Large Language Models on Information Extraction》
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
Learning Reward Models from In-the-Wild Interactions
Parallel Scaling without Inter-trace Redundancy
RL trained models and datasets for instruction-following
《Constraint Back-translation Improves Complex Instruction Following of Large Language Models》
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Constraint Back-translation Improves Complex Instruction Following of Large Language Models
Paper • 2410.24175 • Published • 18 -
THU-KEG/Mistral-Crab-SFT
Text Generation • 7B • Updated • 27 • 5 -
THU-KEG/Mistral-Crab-DPO
Text Generation • 7B • Updated • 86 • 4 -
THU-KEG/Llama3-Crab-SFT
Text Generation • Updated • 23
SAEVerbalizer: Generating Explanations for Sparse Autoencoder Features via Representation Verbalization
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
Data and models for the paper "Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards".
Learning Reward Models from In-the-Wild Interactions
Boundary-Guided Policy Optimization for Memory-Efficient RL of Diffusion Large Language Models
-
THU-KEG/LLaDA-8B-BGPO-math
Reinforcement Learning • 8B • Updated • 16 • 1 -
THU-KEG/LLaDA-8B-BGPO-code
Reinforcement Learning • 8B • Updated • 13 • 1 -
THU-KEG/LLaDA-8B-BGPO-countdown
Reinforcement Learning • 8B • Updated • 11 • 1 -
THU-KEG/LLaDA-8B-BGPO-sudoku
Reinforcement Learning • 8B • Updated • 12 • 1
Parallel Scaling without Inter-trace Redundancy
Scaling Iterative Reinforcement Learning with Interleaved Compression
RL trained models and datasets for instruction-following
OpenSAE checkpoints for LLaMA 3.1 8B base model
《Constraint Back-translation Improves Complex Instruction Following of Large Language Models》
-
Constraint Back-translation Improves Complex Instruction Following of Large Language Models
Paper • 2410.24175 • Published • 18 -
THU-KEG/Mistral-Crab-SFT
Text Generation • 7B • Updated • 27 • 5 -
THU-KEG/Mistral-Crab-DPO
Text Generation • 7B • Updated • 86 • 4 -
THU-KEG/Llama3-Crab-SFT
Text Generation • Updated • 23
EMNLP2024 Main Conference: 《Aligning Large Language Models on Information Extraction》