|
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
89 pts·arXiv cs.AI··research
5.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
10.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
13.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
16.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
22.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
26.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
72 pts·arXiv cs.AI··research
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