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Recent Activity

FlippyDora submitted a paper about 5 hours ago

Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models

CharlesDDDD submitted a paper 7 days ago

ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer

vawsgit new activity 11 days ago

amazon/doc_split:fix: Revise README for accuracy, usability, and dependency compatibility

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Papers

Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models

ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer

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amazon 's Papers 20

Submitted by

Jiarui Yao

Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models

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Submitted by

Chunyuan Deng

ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer

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2

Submitted by

taesiri

DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers

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Submitted by

CL Yu

Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training

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Submitted by

Awsaf

LikeBench: Evaluating Subjective Likability in LLMs for Personalization

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2

Submitted by

taesiri

WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance

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Submitted by

Yifan Jiang

VIDEOP2R: Video Understanding from Perception to Reasoning

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5

Submitted by

Soyeong

Adaptive Multi-Agent Response Refinement in Conversational Systems

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Submitted by

Song

Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs

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2

Submitted by

Abdul Fatir Ansari

Chronos-2: From Univariate to Universal Forecasting

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Submitted by

taicheng guo

MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training

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Submitted by

Weijie Xu

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs

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Submitted by

Zhenhailong Wang

Multimodal Policy Internalization for Conversational Agents

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Submitted by

Soyeong

When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

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2

Submitted by

Jiaru Zou

TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning

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3

From Frames to Clips: Efficient Key Clip Selection for Long-Form Video Understanding

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Training Large Language Models To Reason In Parallel With Global Forking Tokens

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Submitted by

Gabriele Berton

CompLLM: Compression for Long Context Q&A

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4

FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline

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1

Submitted by

Weijie Xu

Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective

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