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DateTopicPapers
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2/2/2026PretrainingParity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization
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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
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2/4/2026EmbeddingsMMTEB: Massive Multilingual Text Embedding Benchmark
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Improving Text Embeddings with Large Language Models
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2/9/2026EmbeddingsDeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model (only Section 2.1)
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NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
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2/11/2026Mixture-of-ExpertsOutrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
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Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
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2/16/2026ReasoningBIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
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2/18/2026Reasoning
/ Alignment		Direct Preference Optimization: Your Language Model is Secretly a Reward Model
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Training a Generally Curious Agent
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2/23/2026Agent HarnessAgent Workflow Memory
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The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents
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2/25/2026Long-ContextEfficient Streaming Language Models with Attention Sinks
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3/2/2026Latent AttentionTransMLA: Multi-Head Latent Attention Is All You Need
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DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models (only Section 2)
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3/4/2026Reinforcement LearningDAPO: An Open-Source LLM Reinforcement Learning System at Scale
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Understanding R1-Zero-Like Training
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3/9/2026ReasoningOptimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
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3/11/2026ReasoningCWM: An Open-Weights LLM for Research on Code Generation with World Models
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3/16/2026Self-Play RLAbsolute Zero: Reinforced Self-play Reasoning with Zero Data
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3/18/2026Self-Play RLSPICE: Self-Play In Corpus Environments Improves Reasoning
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Toward Training Superintelligent Software Agents through Self-Play SWE-RL
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3/30/2026Test-Time ScalingScaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
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Learning to Discover at Test Time
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4/1/2026Mode CollapseArtificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
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4/6/2026Linear TransformerLinear transformers are secretly fast weight programmers
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Parallelizing Linear Transformers with the Delta Rule over Sequence Length
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4/8/2026Diffusion LMDiffusion-LM Improves Controllable Text Generation
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Large Language Diffusion Models
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4/13/2026SafetyOn the Role of Attention Heads in Large Language Model Safety
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Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
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4/15/2026Mechanistic InterpretabilityScaling and Evaluating Sparse Autoencoders
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Sparse Crosscoders for Cross-Layer Features and Model Diffing
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4/20/2026CalibrationActive Task Disambiguation with LLMs
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Learning to Route LLMs with Confidence Tokens
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4/22/2026Scaling LawTraining compute-optimal large language models
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Scaling Laws for Precision
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