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ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks
Paper • 2508.15804 • Published • 15 -
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 54 -
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
Paper • 2511.16043 • Published • 109 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 184
Tobias Völzing
wumingshi
·
AI & ML interests
None yet
Recent Activity
updated
a collection
5 days ago
Agents
updated
a collection
23 days ago
Fundamental
updated
a collection
about 1 month ago
Fundamental
Organizations
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LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Paper • 2310.18356 • Published • 24 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 52
-
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Point Transformer V3: Simpler, Faster, Stronger
Paper • 2312.10035 • Published • 22 -
Extending Context Window of Large Language Models via Semantic Compression
Paper • 2312.09571 • Published • 16 -
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation
Paper • 2312.17276 • Published • 16
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Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Paper • 2310.18628 • Published • 8 -
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 73 -
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
Paper • 2401.00788 • Published • 23 -
mistralai/Codestral-22B-v0.1
22B • Updated • 6.25k • 1.32k
-
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
Paper • 2310.17752 • Published • 15 -
Instruction-tuning Aligns LLMs to the Human Brain
Paper • 2312.00575 • Published • 15 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 28
-
Controlled Decoding from Language Models
Paper • 2310.17022 • Published • 15 -
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 18 -
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
Paper • 2509.10396 • Published • 16 -
The Path Not Taken: RLVR Provably Learns Off the Principals
Paper • 2511.08567 • Published • 34
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On the Diagram of Thought
Paper • 2409.10038 • Published • 13 -
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 144 -
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Paper • 2511.06221 • Published • 133 -
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Paper • 2512.02556 • Published • 255
-
ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks
Paper • 2508.15804 • Published • 15 -
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 54 -
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
Paper • 2511.16043 • Published • 109 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 184
-
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Paper • 2310.18356 • Published • 24 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 52
-
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Paper • 2310.18628 • Published • 8 -
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 73 -
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
Paper • 2401.00788 • Published • 23 -
mistralai/Codestral-22B-v0.1
22B • Updated • 6.25k • 1.32k
-
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
Paper • 2310.17752 • Published • 15 -
Instruction-tuning Aligns LLMs to the Human Brain
Paper • 2312.00575 • Published • 15 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 28
-
Controlled Decoding from Language Models
Paper • 2310.17022 • Published • 15 -
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 18 -
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
Paper • 2509.10396 • Published • 16 -
The Path Not Taken: RLVR Provably Learns Off the Principals
Paper • 2511.08567 • Published • 34
-
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Point Transformer V3: Simpler, Faster, Stronger
Paper • 2312.10035 • Published • 22 -
Extending Context Window of Large Language Models via Semantic Compression
Paper • 2312.09571 • Published • 16 -
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation
Paper • 2312.17276 • Published • 16
-
On the Diagram of Thought
Paper • 2409.10038 • Published • 13 -
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 144 -
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Paper • 2511.06221 • Published • 133 -
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Paper • 2512.02556 • Published • 255