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Benchmarks
Most implemented
QLoRA: Efficient Finetuning of Quantized LLMs
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Visual Instruction Tuning
Habitat: A Platform for Embodied AI Research
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Papers
UniWAM: Unified World-Action Model
Vision-language-action models benefit from the understanding and reasoning capabilities of pretrained vision-language models, but action-only supervision provides limited grounding in world dynamics. Conversely, world-ac…
Visual Question AnsweringInstruction FollowingVideo GenerationQuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code
Large language models are strong general-purpose code generators, but executable algorithmic trading remains a demanding specialization target: a model must translate a natural-language strategy specification into correc…
Instruction FollowingCode GenerationSystematically Exploring the Capabilities of GPT-6 Astra as Embodied Policies
GPT-6 Astra exhibits a remarkable ability to generate numerical robot actions, extending its role beyond high-level planning. To assess Astra's capabilities as general-purpose embodied policies, we conduct comprehensive …
Instruction FollowingROSS: Relearning from Self-Generated Rollouts through Selective Supervision
Large language model post-training generates self-generated rollouts through reinforcement learning and on-policy distillation, yet this experience is often treated as stale once the policy advances. Historical rollouts …
Reinforcement LearningInstruction FollowingCode GenerationDuoOPD: Learning from Joint Teacher-Student Outcomes for Multi-Task On-Policy Distillation
On-policy distillation (OPD) trains a student on its own responses with token-level feedback from a stronger teacher, yet the teacher can fail on questions the student already answers correctly, and how often each model …
Instruction FollowingCode GenerationTimeBraid: Unifying Time Series and Language for Understanding and Forecasting
We present TimeBraid, a series of unified time-series and language models that align pretrained language models and pretrained time-series foundation models through interleaved global residual attention layers. Each mode…
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