--- title: "Confidence_Elicitation_Attacks vs ChatGLM-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aniloid2-confidence-elicitation-attacks-vs-zai-org-chatglm-6b" tools: ["aniloid2-confidence-elicitation-attacks", "zai-org-chatglm-6b"] --- # Confidence_Elicitation_Attacks vs ChatGLM-6B *GraphCanon updated Jul 11, 2026* ## Verdict Pick Confidence_Elicitation_Attacks when also covers Evaluation & Observability; pick ChatGLM-6B when also covers Data & Retrieval. [Confidence_Elicitation_Attacks](https://github.com/Aniloid2/Confidence_Elicitation_Attacks) reports 6 GitHub stars, 0 forks, and 1 open issues, last pushed Mar 4, 2025. [ChatGLM-6B](https://github.com/zai-org/ChatGLM-6B) has 41k stars, 5.1k forks, and 609 open issues, last pushed Jun 27, 2024. Figures are from public GitHub metadata via [Confidence_Elicitation_Attacks's repository](https://github.com/Aniloid2/Confidence_Elicitation_Attacks) and [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B). | | [Confidence_Elicitation_Attacks](/tools/aniloid2-confidence-elicitation-attacks.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Tagline | [ICLR 2025] Confidence Elicitation: A New Attack Vector for Large Language Models | ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 | | Stars | 6 | 41,035 | | Forks | 0 | 5,132 | | Open issues | 1 | 609 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Evaluation & Observability, LLM Frameworks, Vector Databases | Data & Retrieval, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Confidence_Elicitation_Attacks](/tools/aniloid2-confidence-elicitation-attacks.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Days since push | 494d | 744d | | Open issues (now) | 1 | 609 | | Owner type | User | Organization | | Security scan | 123 low (123 low) | 75 low (75 low) | | Full report | [trust report](/tools/aniloid2-confidence-elicitation-attacks/trust.md) | [trust report](/tools/zai-org-chatglm-6b/trust.md) | ## Choose when ### Choose Confidence_Elicitation_Attacks if… - Also covers Evaluation & Observability. - More recently updated (last pushed Mar 4, 2025). ### Choose ChatGLM-6B if… - Also covers Data & Retrieval. - More GitHub stars (41k vs 6) - visibility, not fit. ## When NOT to use Confidence_Elicitation_Attacks - Last GitHub push was 495 days ago (dormant maintenance, Mar 4, 2025). Validate activity before betting a new project on Confidence_Elicitation_Attacks. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use ChatGLM-6B - Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between Confidence_Elicitation_Attacks and ChatGLM-6B? Confidence_Elicitation_Attacks: [ICLR 2025] Confidence Elicitation: A New Attack Vector for Large Language Models. ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型. See the comparison table for live GitHub stats and shared categories. ### When should I choose Confidence_Elicitation_Attacks over ChatGLM-6B? Choose Confidence_Elicitation_Attacks over ChatGLM-6B when Also covers Evaluation & Observability; More recently updated (last pushed Mar 4, 2025). ### When should I choose ChatGLM-6B over Confidence_Elicitation_Attacks? Choose ChatGLM-6B over Confidence_Elicitation_Attacks when Also covers Data & Retrieval; More GitHub stars (41k vs 6) - visibility, not fit. ### When should I avoid Confidence_Elicitation_Attacks? Last GitHub push was 495 days ago (dormant maintenance, Mar 4, 2025). Validate activity before betting a new project on Confidence_Elicitation_Attacks. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid ChatGLM-6B? Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is Confidence_Elicitation_Attacks or ChatGLM-6B more popular on GitHub? ChatGLM-6B has more GitHub stars (41,035 vs 6). Stars measure visibility, not whether either tool fits your constraints. ### Are Confidence_Elicitation_Attacks and ChatGLM-6B open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Confidence_Elicitation_Attacks or ChatGLM-6B? GraphCanon lists graph-backed alternatives at [Confidence_Elicitation_Attacks alternatives](/tools/aniloid2-confidence-elicitation-attacks/alternatives) and [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) ([Confidence_Elicitation_Attacks markdown twin](/tools/aniloid2-confidence-elicitation-attacks/alternatives.md), [ChatGLM-6B markdown twin](/tools/zai-org-chatglm-6b/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/aniloid2-confidence-elicitation-attacks-vs-zai-org-chatglm-6b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Confidence_Elicitation_Attacks or ChatGLM-6B? Confidence_Elicitation_Attacks: Dormant. ChatGLM-6B: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Confidence_Elicitation_Attacks and ChatGLM-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Confidence_Elicitation_Attacks trust report](/tools/aniloid2-confidence-elicitation-attacks/trust); [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aniloid2-confidence-elicitation-attacks`](/api/graphcanon/graph?tool=aniloid2-confidence-elicitation-attacks) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_