All papers — page 2

• Applications of deep learning in stock market prediction: recent progress
  arxiv:2003.01859 · 2020-02-29 · text available
• Are Emergent Abilities of Large Language Models a Mirage?
  arxiv:2304.15004 · 2023-04-28 · text available
• Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics
  arxiv:2410.21272 · 2024-10-28 · text available
• Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
  arxiv:2402.12483 · 2024-02-19 · text available
• Attractor and integrator networks in the brain
  arxiv:2112.03978 · 2021-12-07 · text available
• Attribution graphs, the biology of the model
  url:transformer-circuits.pub/2025/attribution-graphs/biology.html · 2025-03-27 · metadata only
• Automated Design of Agentic Systems
  arxiv:2408.08435 · 2024-08-15 · text available
• BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
  arxiv:2608.09888 · 2026-08-10 · text available
• Benchmarking Batch Deep Reinforcement Learning Algorithms
  arxiv:1910.01708 · 2019-10-03 · text available
• Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable Prefixes
  arxiv:2603.05454 · 2026-03-05 · text available
• Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
  arxiv:2506.01939 · 2025-06-02 · text available
• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
  arxiv:2206.04615 · 2022-06-09 · text available
• Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
  arxiv:2411.03820 · 2024-11-06 · text available
• Bigger, Better, Faster: Human-level Atari with human-level efficiency
  arxiv:2305.19452 · 2023-05-30 · text available
• Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs
  arxiv:2405.14862 · 2024-05-23 · text available
• Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers
  arxiv:2606.31779 · 2026-06-30 · text available
• Cache-to-Cache: Direct Semantic Communication Between Large Language Models
  arxiv:2510.03215 · 2025-10-03 · text available
• Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  arxiv:2311.16452 · 2023-11-28 · text available
• Can Large Reasoning Models Self-Train?
  arxiv:2505.21444 · 2025-05-27 · text available
• Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
  arxiv:2312.10549 · 2023-12-16 · text available
• CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
  arxiv:2509.09675 · 2025-09-11 · text available
• CEO-Bench: Can Agents Play the Long Game?
  arxiv:2606.18543 · 2026-06-16 · text available
• Characterizing emergent phenomena in LLMs (Google Research)
  url:ai.googleblog.com/2022/11/characterizing-emergent-phenomena-in.html · 2022-11-10 · metadata only
• Circuit tracing / attribution graphs (methods)
  url:transformer-circuits.pub/2025/attribution-graphs/methods.html · 2025-03-27 · metadata only