conftrace_

hidden representation

50 papers

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Co-occurring keywords

representation learning (6206) large language model (13587) attention mechanism (4001) automatic speech recognition (1774) neural machine translation (2310) question answering (2963) transfer learning (5449) transformer architecture (1560) representation space (46) commonsense reasoning (506)

Papers

FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL 2026
Geometric Interpretation of Layer Normalization and a Comparative Analysis with RMSNorm EACL 2026
Exploring Concreteness Through a Figurative Lens ACL 2026
The Curious Case of Analogies: Investigating Analogical Reasoning in Large Language Models AAAI 2026
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners NAACL 2025
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025
ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations EMNLP 2025
Thought calibration: Efficient and confident test-time scaling EMNLP 2025
STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment EMNLP 2025
FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models EMNLP 2025
Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions EMNLP 2025
From Behavioral Performance to Internal Competence: Interpreting Vision-Language Models with VLM-Lens EMNLP 2025
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation AAAI 2025
The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations EMNLP 2025
IRSum: One Model to Rule Summarization and Retrieval ACL 2025
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NIPS 2024
ReFT: Representation Finetuning for Language Models NIPS 2024
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis EMNLP 2024
On the Scaling Laws of Geographical Representation in Language Models COLING 2024
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NIPS 2024
Jump to Conclusions: Short-Cutting Transformers with Linear Transformations COLING 2024
A Critical Study of What Code-LLMs (Do Not) Learn ACL 2024
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries EMNLP 2024
Anisotropy Is Inherent to Self-Attention in Transformers EACL 2024
Who's asking? User personas and the mechanics of latent misalignment NIPS 2024