Can Embodied Agents Understand Vague Human Instructions in Task Planning?
[Submitted on 16 May 2025 (v1), last revised 19 May 2025 (this version, v2)] View a PDF of the paper ...
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LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs
arXiv:2505.13098v1 Announce Type: cross Abstract: Current Large Language Models (LLMs) can assist developing program code beside many other things, but ...
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LLM Agent as a Shield between User and Recommender Systems
[Submitted on 20 Feb 2025 (v1), last revised 16 May 2025 (this version, v2)] View a PDF of the paper ...
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Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models
arXiv:2505.10543v1 Announce Type: cross Abstract: While large language models demonstrate impressive performance on static benchmarks, the true potential of large ...
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Superposition Yields Robust Neural Scaling
arXiv:2505.10465v1 Announce Type: cross Abstract: The success of today’s large language models (LLMs) depends on the observation that larger models ...
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Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors
arXiv:2505.09610v1 Announce Type: cross Abstract: The use of Large Language Models (LLMs) in hardware design has taken off in recent ...
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Clicking some of the silly options: Exploring Player Motivation in Static and Dynamic Educational Interactive Narratives
arXiv:2505.08891v1 Announce Type: new Abstract: Motivation is an important factor underlying successful learning. Previous research has demonstrated the positive effects ...
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A Benchmark for Narrative-Driven Drama Series Understanding
[Submitted on 30 Apr 2025 (v1), last revised 13 May 2025 (this version, v3)] View a PDF of the paper ...
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[2410.12876] In-context KV-Cache Eviction for LLMs via Attention-Gate
[Submitted on 15 Oct 2024 (v1), last revised 17 Apr 2025 (this version, v3)] View a PDF of the paper ...
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[2411.16707] Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework
[Submitted on 21 Nov 2024 (v1), last revised 15 Apr 2025 (this version, v2)] View a PDF of the paper ...
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