Hamish Ivison
hamishivi
AI & ML interests
NLP :)
Recent Activity
updated a dataset about 3 hours ago
TMaxxx/agent-task-terminal-lego-15k authored a paper about 4 hours ago
Learning to Solve Hard Problems in RL for LLMs by Never Giving Up authored a paper about 4 hours ago
Tmax: A simple recipe for terminal agentsOrganizations
Models for "RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments" - https://arxiv.org/abs/2511.07317
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RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
Paper • 2511.07317 • Published • 18 -
hamishivi/OpenThinker3-1.5B-RLVE
Text Generation • 2B • Updated • 24 • 2 -
hamishivi/Nemotron-Research-Reasoning-Qwen-1.5B-v2-RLVE
Text Generation • 2B • Updated • 25 • 3
Models associated with the paper "TESS-2: A Large-Scale, Generalist Diffusion Language Model". Code: https://github.com/hamishivi/tess-2
a small run at 7b scale with ppo, following the unpacking dpo and ppo paper.
The set of models associated with the paper "How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources".
Auxiliary datasets for tmax.
Datasets and models associated with the paper "Large-Scale Data Selection for Instruction Tuning" (https://arxiv.org/abs/2503.01807)
Llama 3 models trained on the tulu dataset, following https://arxiv.org/abs/2311.10702 (tulu 2) and https://arxiv.org/abs/2406.09279 (tulu 2.5).
The set of models associated with the Tulu V2 technical report.
Auxiliary datasets for tmax.
Models for "RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments" - https://arxiv.org/abs/2511.07317
-
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
Paper • 2511.07317 • Published • 18 -
hamishivi/OpenThinker3-1.5B-RLVE
Text Generation • 2B • Updated • 24 • 2 -
hamishivi/Nemotron-Research-Reasoning-Qwen-1.5B-v2-RLVE
Text Generation • 2B • Updated • 25 • 3
Datasets and models associated with the paper "Large-Scale Data Selection for Instruction Tuning" (https://arxiv.org/abs/2503.01807)
Models associated with the paper "TESS-2: A Large-Scale, Generalist Diffusion Language Model". Code: https://github.com/hamishivi/tess-2
Llama 3 models trained on the tulu dataset, following https://arxiv.org/abs/2311.10702 (tulu 2) and https://arxiv.org/abs/2406.09279 (tulu 2.5).
a small run at 7b scale with ppo, following the unpacking dpo and ppo paper.
The set of models associated with the Tulu V2 technical report.
The set of models associated with the paper "How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources".