Prompt
Are there any paper-finding search providers that focus on technical questions and recent indexed material?
Latest observation
Yes — there are a few search tools that are especially good when you want to ask a technical question and get recent, indexed papers rather than generic web results.
Good options
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Semantic Scholar
- Strong for technical and scientific literature.
- Good paper indexing, citations, and related-paper discovery.
- Often better than general search for finding relevant academic work quickly.
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Elicit
- Designed for research questions, especially literature discovery and summarization.
- Helpful when you want to explore a technical question across papers.
- More “research assistant” than pure search engine.
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Consensus
- Targets question answering from research papers.
- Useful for finding evidence-backed answers to technical/scientific questions.
- Best when you want “what do papers say?” rather than just a list of papers.
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Google Scholar
- Broad and familiar.
- Good coverage, including recent papers, though it’s less tailored to interactive technical Q&A.
- Powerful when combined with keyword searching and citation chaining.
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Connected Papers
- More for mapping a paper’s neighborhood than answering a question directly.
- Excellent for finding recent related work once you have one seed paper.
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Perplexity with academic/web modes or source-grounded search tools
- Not a paper database itself, but can surface recent sources and synthesize answers.
- Quality depends on whether it’s actually grounded in scholarly sources.
If your priority is “technical question + recent indexed material”
The best fits are usually:
- Semantic Scholar
- Elicit
- Consensus
- Google Scholar for breadth
Quick recommendation
- For finding papers fast: Semantic Scholar or Google Scholar
- For asking a technical research question: Elicit or Consensus
- For exploring related literature around a known paper: Connected Papers
If you want, I can also give you:
- a comparison table
- tools focused specifically on recent preprints
- or recommendations for ML / CS / medicine / engineering separately.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.