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Awesome computation β curated papers, datasets & benchmarks Β· Awesome Large Language Models
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computation
16 papers tagged computation β re-sort below
Papers
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16 papers Β· trending (default)
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C-ΞΞ: Circuit-Restricted Weight Arithmetic for Selective Refusal
(2026)
Aditya Kasliwal et al.
1.94
InfoPO: Information-Driven Policy Optimization for User-Centric Agents
(2026)
Fanqi Kong et al.
1.94
Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductors Discovery
(2026)
Mingze Li et al.
1.94
Geometric Latent Reasoning Induces Shorter Generations in LLMs
(2026)
Shashi Kumar et al.
1.94
Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models
(2026)
Cheng-Yu Yang et al.
1.94
DeonticBench: A Benchmark for Reasoning over Rules
(2026)
Guangyao Dou et al.
1.83
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
(2025)
Ziyu Guo et al.
1.28
Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models
(2025)
Thomas Winninger et al.
1.28
Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts
(2025)
Danil Sivtsov et al.
1.28
Kinetics: Rethinking Test-Time Scaling Laws
(2025)
Ranajoy Sadhukhan et al.
1.28
TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation
(2025)
Adam Filipek
1.28
AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning
(2025)
Zhanke Zhou et al.
1.28
Weaver: Foundation Models for Creative Writing
(2024)
Tiannan Wang et al.
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An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
(2024)
Liang Chen et al.
β
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
(2024)
Kirolos Ataallah et al.
β
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
(2024)
Zesen Cheng et al.
β