LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Tufanov, Igor, Hambardzumyan, Karen, Ferrando, Javier, Voita, Elena |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Information Flow Routes: Automatically Interpreting Language Models at Scale
by: Ferrando, Javier, et al.
Published: (2024)
by: Ferrando, Javier, et al.
Published: (2024)
GLUScope: A Tool for Analyzing GLU Neurons in Transformer Language Models
by: Gerstner, Sebastian, et al.
Published: (2026)
by: Gerstner, Sebastian, et al.
Published: (2026)
Know When To Stop: A Study of Semantic Drift in Text Generation
by: Spataru, Ava, et al.
Published: (2024)
by: Spataru, Ava, et al.
Published: (2024)
ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
by: Kwak, Beong-woo, et al.
Published: (2025)
by: Kwak, Beong-woo, et al.
Published: (2025)
A Primer on the Inner Workings of Transformer-based Language Models
by: Ferrando, Javier, et al.
Published: (2024)
by: Ferrando, Javier, et al.
Published: (2024)
FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text
by: Boonsanong, Varich, et al.
Published: (2025)
by: Boonsanong, Varich, et al.
Published: (2025)
Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models
by: Lee, Jonggeun, et al.
Published: (2025)
by: Lee, Jonggeun, et al.
Published: (2025)
ToolRM: Outcome Reward Models for Tool-Calling Large Language Models
by: Agarwal, Mayank, et al.
Published: (2025)
by: Agarwal, Mayank, et al.
Published: (2025)
Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
by: Shi, Zhengliang, et al.
Published: (2024)
by: Shi, Zhengliang, et al.
Published: (2024)
Automated Interpretability and Feature Discovery in Language Models with Agents
by: Marin-Llobet, Arnau, et al.
Published: (2026)
by: Marin-Llobet, Arnau, et al.
Published: (2026)
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
by: Liu, Xukun, et al.
Published: (2024)
by: Liu, Xukun, et al.
Published: (2024)
C Analyzer : A Static Program Analysis Tool for C Programs
by: Solanki, Rajendra Kumar
Published: (2024)
by: Solanki, Rajendra Kumar
Published: (2024)
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
by: Xuan, Weihao, et al.
Published: (2026)
by: Xuan, Weihao, et al.
Published: (2026)
ZeroLM: Data-Free Transformer Architecture Search for Language Models
by: Chen, Zhen-Song, et al.
Published: (2025)
by: Chen, Zhen-Song, et al.
Published: (2025)
ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models
by: Shim, Jeonghoon, et al.
Published: (2025)
by: Shim, Jeonghoon, et al.
Published: (2025)
ToolSpectrum : Towards Personalized Tool Utilization for Large Language Models
by: Cheng, Zihao, et al.
Published: (2025)
by: Cheng, Zihao, et al.
Published: (2025)
NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
by: Han, Han, et al.
Published: (2024)
by: Han, Han, et al.
Published: (2024)
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
by: Ding, Hanxing, et al.
Published: (2025)
by: Ding, Hanxing, et al.
Published: (2025)
Agentic Tool Use in Large Language Models
by: Hu, Jinchao, et al.
Published: (2026)
by: Hu, Jinchao, et al.
Published: (2026)
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
by: Gou, Zhibin, et al.
Published: (2023)
by: Gou, Zhibin, et al.
Published: (2023)
Natural Language Tools: A Natural Language Approach to Tool Calling In Large Language Agents
by: Johnson, Reid T., et al.
Published: (2025)
by: Johnson, Reid T., et al.
Published: (2025)
Adaptive Tool Generation with Models as Tools and Reinforcement Learning
by: Wang, Chenpeng, et al.
Published: (2025)
by: Wang, Chenpeng, et al.
Published: (2025)
OpaqueToolsBench: Learning Nuances of Tool Behavior Through Interaction
by: Hallinan, Skyler, et al.
Published: (2026)
by: Hallinan, Skyler, et al.
Published: (2026)
MatTools: Benchmarking Large Language Models for Materials Science Tools
by: Liu, Siyu, et al.
Published: (2025)
by: Liu, Siyu, et al.
Published: (2025)
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
by: Guo, Zhicheng, et al.
Published: (2024)
by: Guo, Zhicheng, et al.
Published: (2024)
BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models
by: Gao, Xin, et al.
Published: (2026)
by: Gao, Xin, et al.
Published: (2026)
GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation
by: He, Jie, et al.
Published: (2025)
by: He, Jie, et al.
Published: (2025)
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task
by: Ferrando, Javier, et al.
Published: (2024)
by: Ferrando, Javier, et al.
Published: (2024)
Teaching Language Models to Reason with Tools
by: Li, Chengpeng, et al.
Published: (2025)
by: Li, Chengpeng, et al.
Published: (2025)
Replicating ReLM Results: Validating Large Language Models with ReLM
by: Adamson, Reece, et al.
Published: (2025)
by: Adamson, Reece, et al.
Published: (2025)
TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks
by: Garbas, Lukas, et al.
Published: (2024)
by: Garbas, Lukas, et al.
Published: (2024)
Alignment for Efficient Tool Calling of Large Language Models
by: Xu, Hongshen, et al.
Published: (2025)
by: Xu, Hongshen, et al.
Published: (2025)
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
by: Hao, Shibo, et al.
Published: (2023)
by: Hao, Shibo, et al.
Published: (2023)
Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models
by: Wu, Mengsong, et al.
Published: (2025)
by: Wu, Mengsong, et al.
Published: (2025)
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
by: Ye, Junjie, et al.
Published: (2025)
by: Ye, Junjie, et al.
Published: (2025)
Robust LLM safeguarding via refusal feature adversarial training
by: Yu, Lei, et al.
Published: (2024)
by: Yu, Lei, et al.
Published: (2024)
Is There a Case for Conversation Optimized Tokenizers in Large Language Models?
by: Ferrando, Raquel, et al.
Published: (2025)
by: Ferrando, Raquel, et al.
Published: (2025)
SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
by: Tan, Xingwei, et al.
Published: (2025)
by: Tan, Xingwei, et al.
Published: (2025)
Why Do Large Language Models (LLMs) Struggle to Count Letters?
by: Fu, Tairan, et al.
Published: (2024)
by: Fu, Tairan, et al.
Published: (2024)
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
by: Huang, Yue, et al.
Published: (2023)
by: Huang, Yue, et al.
Published: (2023)
Similar Items
-
Information Flow Routes: Automatically Interpreting Language Models at Scale
by: Ferrando, Javier, et al.
Published: (2024) -
GLUScope: A Tool for Analyzing GLU Neurons in Transformer Language Models
by: Gerstner, Sebastian, et al.
Published: (2026) -
Know When To Stop: A Study of Semantic Drift in Text Generation
by: Spataru, Ava, et al.
Published: (2024) -
ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
by: Kwak, Beong-woo, et al.
Published: (2025) -
A Primer on the Inner Workings of Transformer-based Language Models
by: Ferrando, Javier, et al.
Published: (2024)