·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Articulate Intuition or Genuine Analysis? Benchmarking Epistemic Reliability in LLM-as-a-Judge Peer Reviews3h◆UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp3h◆Demographic Prompting at Scale: When More Attributes Hurt LLM--Human Agreement3h◆Non-binary bottom-up constituency parsing without arity actions3h◆Eval-Pair Matrix: Answer-Paired Meta-Evaluation of LLM Judges for Grounded RAG3h◆The First ChineseBabyLM Challenge: training data-efficient and cognitively plausible language models for Chinese3h◆Trust Before Fusion: QIMG-7 and Source-Aware Resolution for Polluted Multimodal RAG3h◆EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion3h◆EasyOPD: An Easy-to-use On-Policy Distillation Framework for Large Language Models3h◆MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment3h◆ResearchQA: Benchmarking Citation-Grounded Question-Answering on Scientific Papers3h◆Do LLMs Fabricate Legal Citations? A Bilingual Benchmark on Saudi Data Protection Law and the GDPR3h◆Unified Gradient Projection: Language-Balanced Continual Learning for Multilingual Low-Resource ASR3h◆Query-Focused Event Summarization: A Dataset and Benchmark3h◆Graph Construction and Matching for Imperative Programs using Neural and Structural Methods3h◆IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation3h◆Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results3h◆When the Target Domain Changes: AI-Mediated Construct Drift in High-Stakes English Language AssessmenW3h◆Self-Compacting Language Model Agents3h◆Q-BridgeNet: A Quantization Network for Cross-Lingual Sign Language Translation3h◆Articulate Intuition or Genuine Analysis? Benchmarking Epistemic Reliability in LLM-as-a-Judge Peer Reviews3h◆UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp3h◆Demographic Prompting at Scale: When More Attributes Hurt LLM--Human Agreement3h◆Non-binary bottom-up constituency parsing without arity actions3h◆Eval-Pair Matrix: Answer-Paired Meta-Evaluation of LLM Judges for Grounded RAG3h◆The First ChineseBabyLM Challenge: training data-efficient and cognitively plausible language models for Chinese3h◆Trust Before Fusion: QIMG-7 and Source-Aware Resolution for Polluted Multimodal RAG3h◆EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion3h◆EasyOPD: An Easy-to-use On-Policy Distillation Framework for Large Language Models3h◆MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment3h◆ResearchQA: Benchmarking Citation-Grounded Question-Answering on Scientific Papers3h◆Do LLMs Fabricate Legal Citations? A Bilingual Benchmark on Saudi Data Protection Law and the GDPR3h◆Unified Gradient Projection: Language-Balanced Continual Learning for Multilingual Low-Resource ASR3h◆Query-Focused Event Summarization: A Dataset and Benchmark3h◆Graph Construction and Matching for Imperative Programs using Neural and Structural Methods3h◆IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation3h◆Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results3h◆When the Target Domain Changes: AI-Mediated Construct Drift in High-Stakes English Language AssessmenW3h◆Self-Compacting Language Model Agents3h◆Q-BridgeNet: A Quantization Network for Cross-Lingual Sign Language Translation3h◆
News/Non-binary bottom-up constituency parsing without arity actions
arxiv
PublishedJuly 14, 2026 at 4:00 AM

Non-binary bottom-up constituency parsing without arity actions

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.10591v1 Announce Type: new Abstract: Non-binary bottom-up constituency parsing is usually taken to require arity actions: reductions such as \(\textsc{Reduce-}X\#k\) specify both the mother label and the number of children to be composed. We show that this arity parameter is not a necessa

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivArticulate Intuition or Genuine Analysis? Benchmarking Epistemic Reliability in LLM-as-a-Judge Peer Reviews3harxivUNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp3harxivDemographic Prompting at Scale: When More Attributes Hurt LLM--Human Agreement3harxivEval-Pair Matrix: Answer-Paired Meta-Evaluation of LLM Judges for Grounded RAG3h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews