|
49 pts·arXiv cs.AI··research
2.CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation(arxiv.org)
74 pts·arXiv cs.AI··research
84 pts·arXiv cs.CL··research
4.Claude Haiku 5.5 arrives with massive price cuts proving the AI pricing arms race is far from over(the-decoder.com)
41 pts·The Decoder··release
89 pts·arXiv cs.AI··research
6.Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context Reinforcement Learning(arxiv.org)
43 pts·arXiv cs.CL··research
35 pts·OpenAI··news
84 pts·arXiv cs.AI··research
62 pts·arXiv cs.AI··research
31 pts·arXiv cs.AI··research
11.When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization(arxiv.org)
68 pts·arXiv cs.AI··research
66 pts·arXiv cs.AI··research
75 pts·arXiv cs.AI··research
14.Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models Outperform Prompted Frontier Models(arxiv.org)
37 pts·arXiv cs.AI··research
77 pts·arXiv cs.AI··research
53 pts·arXiv cs.AI··research
17.Rethinking Latency Denial-of-Service: Attacking the LLM Serving Framework, Not the Model(arxiv.org)
83 pts·arXiv cs.AI··research
58 pts·arXiv cs.AI··research
35 pts·arXiv cs.AI··research
42 pts·arXiv cs.AI··research
70 pts·arXiv cs.CL··research
44 pts·arXiv cs.CL··research
23.From a Prompt to Repertoires: Evolving Functional REpertoires Enable LLM Continual Learning(arxiv.org)
56 pts·arXiv cs.CL··research
60 pts·arXiv cs.CL··research
57 pts·arXiv cs.CL··research
81 pts·arXiv cs.CL··research
27.Stochastic Rounding in Low-Precision Transformer Inference: A Variable-Precision Emulation Study of a Small GPT-2(arxiv.org)
54 pts·arXiv cs.CL··research
42 pts·arXiv cs.LG··research
84 pts·arXiv cs.AI··research
52 pts·arXiv cs.AI··research
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