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Amazon research papers
A company publishing mostly on reasoning, best known here for Chronos-2.9 papers · 309 citations · latest Oct 2026
ALoDLM: Adaptively Looped Diffusion Language ModelsALoDLM improves diffusion language models by using token-adaptive latent recurrence to allocate more computation to difficult tokens.Amazon1 citations80 upvotesRead →Breaking Babel: A Self-Evolving Multi-Agent System for Long-Form Subtitle TranslationSMART is a self-evolving multi-agent system that improves long-form subtitle translation by using persistent memory and dynamic routing.Amazon38 upvotesRead →Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual EvidenceReaLVR improves latent visual reasoning by providing explicit supervision to latent trajectories, helping models focus on relevant visual evidence.Amazon2 citations210 upvotesRead →Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RLActObs improves agent reinforcement learning by supervising the model to predict environment observations during supervised fine-tuning.Amazon44 upvotesRead →VIDEOP2R: Video Understanding from Perception to ReasoningVideoP2R, a process-aware reinforcement fine-tuning framework, improves video reasoning and understanding by modeling perception and reasoning separately, achieving state-of-the-art results on multiple benchmarks.Amazon10 citations113 upvotesRead →Adaptive Multi-Agent Response Refinement in Conversational SystemsA multi-agent framework enhances conversational quality by refining responses through agents responsible for factuality, personalization, and coherence, outperforming existing methods on challenging datasets.Amazon3 citations42 upvotesRead →Chronos-2: From Univariate to Universal ForecastingChronos-2, a pretrained model with a group attention mechanism, achieves state-of-the-art performance in zero-shot univariate, multivariate, and covariate-informed forecasting tasks.Amazon276 citations28 upvotesRead →When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMsThought templates enhance long-context language models by structuring evidence combination and guiding multi-hop inference, leading to consistent performance improvements across various benchmarks.Amazon4 citations49 upvotesRead →TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular ReasoningTaTToo, a novel table-grounded Process Reward Model, enhances tabular reasoning by explicitly addressing table-specific operations and integrating tool-based verification, leading to significant performance improvements over existing PRMs.Amazon13 citations67 upvotesRead →
Amazon1 citations80 upvotesRead →Breaking Babel: A Self-Evolving Multi-Agent System for Long-Form Subtitle TranslationSMART is a self-evolving multi-agent system that improves long-form subtitle translation by using persistent memory and dynamic routing.Amazon38 upvotesRead →Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual EvidenceReaLVR improves latent visual reasoning by providing explicit supervision to latent trajectories, helping models focus on relevant visual evidence.Amazon2 citations210 upvotesRead →Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RLActObs improves agent reinforcement learning by supervising the model to predict environment observations during supervised fine-tuning.Amazon44 upvotesRead →VIDEOP2R: Video Understanding from Perception to ReasoningVideoP2R, a process-aware reinforcement fine-tuning framework, improves video reasoning and understanding by modeling perception and reasoning separately, achieving state-of-the-art results on multiple benchmarks.Amazon10 citations113 upvotesRead →Adaptive Multi-Agent Response Refinement in Conversational SystemsA multi-agent framework enhances conversational quality by refining responses through agents responsible for factuality, personalization, and coherence, outperforming existing methods on challenging datasets.Amazon3 citations42 upvotesRead →Chronos-2: From Univariate to Universal ForecastingChronos-2, a pretrained model with a group attention mechanism, achieves state-of-the-art performance in zero-shot univariate, multivariate, and covariate-informed forecasting tasks.Amazon276 citations28 upvotesRead →When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMsThought templates enhance long-context language models by structuring evidence combination and guiding multi-hop inference, leading to consistent performance improvements across various benchmarks.Amazon4 citations49 upvotesRead →TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular ReasoningTaTToo, a novel table-grounded Process Reward Model, enhances tabular reasoning by explicitly addressing table-specific operations and integrating tool-based verification, leading to significant performance improvements over existing PRMs.Amazon13 citations67 upvotesRead →