:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Jehu-Appiah, Rodney
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2604.02699
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Umwelt Engineering: Designing the Cognitive Worlds of Linguistic Agents
por: Jehu-Appiah, Rodney
Publicado: (2026)

Using Perspectival Words Is Harder Than Vocabulary Words for Humans and Even More So for Multimodal Language Models
por: Dong, Dota Tianai, et al.
Publicado: (2025)

Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
por: Yang, Zhen, et al.
Publicado: (2025)

LIME: Making LLM Data More Efficient with Linguistic Metadata Embeddings
por: Sztwiertnia, Sebastian, et al.
Publicado: (2025)

Latent Terms: Dense Retrievers Contain Trivially Extractable BM25-ready Zipfian Vocabularies
por: Clavié, Benjamin, et al.
Publicado: (2026)

When Models Know More Than They Say: Probing Analogical Reasoning in LLMs
por: McGovern, Hope, et al.
Publicado: (2026)

Improve LLM-based Automatic Essay Scoring with Linguistic Features
por: Hou, Zhaoyi Joey, et al.
Publicado: (2025)

LLMs Struggle with Abstract Meaning Comprehension More Than Expected
por: Alhazmi, Hamoud, et al.
Publicado: (2026)

Rethinking Layer Redundancy: Calibration Matters More Than Search in LLM Depth Pruning
por: Kim, Minkyu, et al.
Publicado: (2026)

More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models
por: Song, Xurui, et al.
Publicado: (2025)

Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning
por: Gandarela, João Pedro, et al.
Publicado: (2025)

Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning
por: Huang, Xijie, et al.
Publicado: (2023)

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
por: Orgad, Hadas, et al.
Publicado: (2024)

Tokenization Is More Than Compression
por: Schmidt, Craig W., et al.
Publicado: (2024)

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
por: Huan, Maggie, et al.
Publicado: (2025)

Scaling LLM Pre-training with Vocabulary Curriculum
por: Yu, Fangyuan
Publicado: (2025)

More Than a Quick Glance: Overcoming the Greedy Bias in KV-Cache Compression
por: Sood, Aryan, et al.
Publicado: (2026)

LLMs Know More Than Words: A Genre Study with Syntax, Metaphor & Phonetics
por: Shi, Weiye, et al.
Publicado: (2025)

Inductive Linguistic Reasoning with Large Language Models
por: Ramji, Raghav, et al.
Publicado: (2024)

An Investigation of Linguistic Biases in LLM-Based Recommendations
por: Venkateswaran, Nitin, et al.
Publicado: (2026)

Linguistics-Aware Non-Distortionary LLM Watermarking
por: Park, Shinwoo, et al.
Publicado: (2026)

More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection
por: Sun, Runze, et al.
Publicado: (2026)

LIMO: Less is More for Reasoning
por: Ye, Yixin, et al.
Publicado: (2025)

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution
por: Dineen, Jacob, et al.
Publicado: (2026)

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning
por: Henrichsen, Mads, et al.
Publicado: (2025)

Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models
por: Bakhshi, Asim D.
Publicado: (2026)

The Algebra of Meaning: Why Machines Need Montague More Than Moore's Law
por: Jeong, Cheonkam, et al.
Publicado: (2025)

Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear
por: McCoy, R. Thomas
Publicado: (2026)

Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
por: Wagner, Eitan, et al.
Publicado: (2024)

Discrete Audio Tokens: More Than a Survey!
por: Mousavi, Pooneh, et al.
Publicado: (2025)

Machine Learning for Detection and Analysis of Novel LLM Jailbreaks
por: Hawkins, John, et al.
Publicado: (2025)

The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning
por: Li, Yubo, et al.
Publicado: (2026)

Improving LLM Reasoning through Interpretable Role-Playing Steering
por: Wang, Anyi, et al.
Publicado: (2025)

Entropy-Aware Speculative Decoding Toward Improved LLM Reasoning
por: Su, Tiancheng, et al.
Publicado: (2025)

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
por: Bhambri, Siddhant, et al.
Publicado: (2025)

More Than Bits: Multi-Envelope Double Binary Factorization for Extreme Quantization
por: Ichikawa, Yuma, et al.
Publicado: (2025)

Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish
por: Philippy, Fred, et al.
Publicado: (2026)

Less is More: Improving LLM Alignment via Preference Data Selection
por: Deng, Xun, et al.
Publicado: (2025)

Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity
por: Qu, Jiaming, et al.
Publicado: (2026)

A Linguistics-Aware LLM Watermarking via Syntactic Predictability
por: Park, Shinwoo, et al.
Publicado: (2025)