Long Cottage
PulseAugur coverage of Long Cottage — every cluster mentioning Long Cottage across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Chain-of-thought compression in LLMs can harm trustworthiness, study finds
A new study published on arXiv investigates the impact of compressing long chain-of-thought (Long-CoT) reasoning in language models. Researchers found that while compression methods can reduce inference costs and token …
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QA-Merging framework enables query-adaptive reasoning in LLMs
Researchers have developed QA-Merging, a novel framework for query-adaptive reasoning in large language models. This method selectively merges layers from models trained for long and short reasoning chains, enabling eff…
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New research identifies 'harmful continuation' in LLM training data
Researchers have identified a phenomenon called "harmful continuation" in the training data for large language models (LLMs) that use long chain-of-thought (CoT) traces. This occurs when reasoning in the trace continues…