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ENTITY Steer

Steer

PulseAugur coverage of Steer — every cluster mentioning Steer across labs, papers, and developer communities, ranked by signal.

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Papers · 30d
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TIER MIX · 90D
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  1. 2026-05-26 research_milestone Introduction of the SteER framework for interactive deep research. source
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_254853 ·

    New STEER method enhances AI's scientific chart understanding

    Researchers have developed a new method called STEER (Structure-Token Evidence-anchored Reasoning) to improve how large vision-language models understand scientific charts. Current models often treat charts like regular…

  2. TOOL · CL_167815 ·

    New STEER system offers controllable head avatar animations for conversations

    Researchers have developed STEER, a new system for generating controllable 3D head avatar animations in conversational settings. STEER allows explicit control over non-verbal cues such as gaze, head rhythm, and emotion,…

  3. RESEARCH · CL_122984 ·

    New STEER attack exploits LLM safety gaps in multilingual contexts · 3 sources tracked

    Researchers have developed a new method called STEER (Safety Targeted Embedding Exploit via Refinement) to exploit vulnerabilities in the safety training of large language models (LLMs). This technique targets models tr…

  4. TOOL · CL_56376 ·

    New framework SaFeR-Steer boosts LLM safety in multi-turn dialogues

    Researchers have introduced SaFeR-Steer, a novel framework designed to enhance the safety and helpfulness of multi-turn Large Language Models (LLMs). This progressive alignment approach utilizes synthetic bootstrapping …

  5. TOOL · CL_50944 ·

    SteER framework enables interactive control in deep AI research

    Researchers have introduced SteER, a novel framework designed to enhance deep research capabilities by allowing for interactive control during long-horizon workflows. Unlike existing systems that operate with rigid, one…

  6. RESEARCH · CL_15643 ·

    New AI methods enhance video reasoning by structuring and selecting visual evidence

    Researchers are developing new methods to improve how large vision-language models (VLMs) understand and reason about long videos. Several papers introduce techniques for more efficient frame selection and evidence gath…