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267개 중 1-12번째 포스트

[논문 리뷰] AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
2026-06-028Paper Review

[논문 리뷰] AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation

Scientific research proceeds through iterative cycles of hypothesis generation, experiment design, execution, and revision. AI agents can automate parts of this process, but existing approaches typica...

Paper Review
cs.AI
cs.AI
[논문 리뷰] AI for Auto-Research: Roadmap & User Guide
2026-06-0215Paper Review

[논문 리뷰] AI for Auto-Research: Roadmap & User Guide

AI-assisted research is crossing a threshold: fully automated systems can now generate research papers for as little as $15, while long-horizon agents can execute experiments, draft manuscripts, and s...

Paper Review
cs.AI
cs.AI
[논문 리뷰] Neural Weight Norm = Kolmogorov Complexity
2026-06-029Paper Review

[논문 리뷰] Neural Weight Norm = Kolmogorov Complexity

Why does weight decay work? We prove that, in any fixed-precision regime, the smallest weight norm of a looped neural network outputting a binary string equals the Kolmogorov complexity of that string...

Paper Review
cs.LG
cs.IT
+1
[논문 리뷰] Language Models Need Sleep
2026-05-267Paper Review

[논문 리뷰] Language Models Need Sleep

Transformer-based large language models are increasingly used for long-horizon tasks; however, their attention mechanism scales poorly with context length. To handle this, we study a sleep-like consol...

Paper Review
cs.CL
cs.AI
+1
[논문 리뷰] SkillOpt: Executive Strategy for Self-Evolving Agent Skills
2026-05-268Paper Review

[논문 리뷰] SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Agent skills today are hand-crafted, generated one-shot, or evolved through loosely controlled self-revision, none of which behaves like a deep-learning optimizer for the skill, and none of which reli...

Paper Review
cs.AI
cs.CL
+1
[논문 리뷰] Tokenisation via Convex Relaxations
2026-05-247Paper Review

[논문 리뷰] Tokenisation via Convex Relaxations

Tokenisation is an integral part of the current NLP pipeline. Current tokenisation algorithms such as BPE and Unigram are greedy algorithms -- they make locally optimal decisions without considering t...

Paper Review
cs.CL
cs.LG
+1
[논문 리뷰] Advancing Mathematics Research with AI-Driven Formal Proof Search
2026-05-248Paper Review

[논문 리뷰] Advancing Mathematics Research with AI-Driven Formal Proof Search

Large language models (LLMs) increasingly excel at mathematical reasoning, but their unreliability limits their utility in mathematics research. A mitigation is using LLMs to generate formal proofs in...

Paper Review
cs.AI
cs.AI
[논문 리뷰] Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning
2026-05-2416Paper Review

[논문 리뷰] Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning

Scaling test-time compute by iteratively updating a latent state has emerged as a powerful paradigm for reasoning. Yet the internal mechanisms that enable these iterative models to generalize beyond m...

Paper Review
cs.LG
cs.LG
[논문 리뷰] Hallucinations Undermine Trust; Metacognition is a Way Forward
2026-05-249Paper Review

[논문 리뷰] Hallucinations Undermine Trust; Metacognition is a Way Forward

Despite significant strides in factual reliability, errors -- often termed hallucinations -- remain a major concern for generative AI, especially as LLMs are increasingly expected to be helpful in mor...

Paper Review
cs.CL
cs.CL
[논문 리뷰] The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions
2026-05-2421Paper Review

[논문 리뷰] The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions

Scientific discovery is constrained not only by what is true, but by what is cognitively available to the researchers currently exploring a field. Many directions are coherent in light of the literatu...

Paper Review
cs.AI
cs.LG
+1
[논문 리뷰] Generative Recursive Reasoning
2026-05-228Paper Review

[논문 리뷰] Generative Recursive Reasoning

How should future neural reasoning systems implement extended computation? Recursive Reasoning Models (RRMs) offer a promising alternative to autoregressive sequence extension by performing iterative ...

Paper Review
cs.AI
cs.AI
[논문 리뷰] Language Game: Talking to Non-Human Systems
2026-05-229Paper Review

[논문 리뷰] Language Game: Talking to Non-Human Systems

Language carries thought and coordination among humans but rarely reaches further along the spectrum of diverse intelligence. Yet non-neural systems -- from gene regulatory networks and microbial cons...

Paper Review
cs.LG
cs.LG
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