{"entries":[{"title":"Boilerplate safety tuning causes false refusals on benign requests","cveId":"cba592a9","paperTitle":"Refuse without Refusal: A Structural Analysis of Safety-Tuning Responses for Reducing False Refusals in Language Models","paperUrl":"https://arxiv.org/abs/2609.04714","paperDate":"2026-09-04","analysisDate":"2026-09-09T16:04:32.326Z","tags":["model-layer","jailbreak","fine-tuning","safety","reliability"],"affectedModels":["Llama 3.1 8B","Mistral 7B v0.3","Gemma 2 9B","Qwen 2.5 7B","Gemma 2 2B","Qwen 2.5 3B","Llama 3.1 70B","Qwen 2.5 72B","Llama 3.1 8B Instruct","Mistral 7B Instruct v0.3","Gemma 2 9B IT","Qwen 2.5 7B Instruct"],"description":"Controlled safety-tuning experiments link boilerplate refusal statements to unnecessary refusals of benign requests. Request-specific rationales improve benign compliance, with benchmark-dependent safety tradeoffs.","slug":"boilerplate-safety-tuning-causes-false-refusals-on-benign-requests","hasDedicatedEvidence":true},{"title":"Deleted agent memory persists in live execution state","cveId":"0d369694","paperTitle":"Forgetting Without Restarting: Execution-State Unlearning for Stateful LLM Agents","paperUrl":"https://arxiv.org/abs/2609.04875","paperDate":"2026-09-04","analysisDate":"2026-09-09T16:02:20.859Z","tags":["application-layer","extraction","agent","memory","data-privacy","data-security","integrity","reliability"],"affectedModels":["Llama 3.1 8B Instruct","Qwen 2.5 7B Instruct","Mistral 7B Instruct v0.3"],"description":"Deleting a memory record can leave its information in an agent's summaries, pending plans and KV cache. The paper evaluates revocation across this derived execution state.","slug":"deleted-agent-memory-persists-in-live-execution-state","hasDedicatedEvidence":true},{"title":"Document reconstruction from exposed retrieval embeddings","cveId":"2021f881","paperTitle":"Shadow Queries for Private Retrieval in Vector Databases","paperUrl":"https://arxiv.org/abs/2609.04767","paperDate":"2026-09-04","analysisDate":"2026-09-09T16:03:48.163Z","tags":["application-layer","extraction","rag","embedding","data-privacy","blackbox"],"affectedModels":["QwQ 32B"],"description":"Exposed retrieval embeddings can reveal source text. SHAQ evaluates indexing generated queries instead of direct document embeddings to reduce that leakage.","slug":"document-reconstruction-from-exposed-retrieval-embeddings","hasDedicatedEvidence":true},{"title":"Selective refusal gaps in visual question answering","cveId":"41ff4d29","paperTitle":"Knowing What Not to Answer: Selective Non-Compliance in Vision-Language Models","paperUrl":"https://arxiv.org/abs/2609.04720","paperDate":"2026-09-04","analysisDate":"2026-09-09T16:05:10.221Z","tags":["model-layer","vision","multimodal","safety","reliability","hallucination","fine-tuning"],"affectedModels":["InternVL3 2B Instruct","InternVL3-78B-Instruct","Qwen 2.5 VL 3B Instruct","Qwen 2.5 VL 72B Instruct","GPT-5","Gemini 2.5 Flash","InternVL3-2B-KoNA","Qwen2.5-VL-3B-KoNA"],"description":"KoNA measures whether vision-language models answer valid image questions while refusing unsafe components or correcting unsupported premises. Its 9,300 question-answer pairs include mixed and fully answerable controls.","slug":"selective-refusal-gaps-in-visual-question-answering","hasDedicatedEvidence":true},{"title":"Visual prompt injection crosses document trust boundaries","cveId":"f34622ab","paperTitle":"Repeat-After-Me: Black-Box Adaptive Visual Prompt Injection","paperUrl":"https://arxiv.org/abs/2609.04533","paperDate":"2026-09-03","analysisDate":"2026-09-09T16:03:01.481Z","tags":["application-layer","injection","vision","multimodal","blackbox","agent","data-privacy","integrity","prompt-layer"],"affectedModels":["claude-opus-4-7","GPT-5.5","Gemini 3.1 Pro","Qwen3.6-27B","Qwen3-VL 32B Instruct","InternVL3.5 38B Instruct"],"description":"Untrusted document images can redirect vision-language agents across instruction and tool-authorization boundaries. Repeat-After-Me evaluates six victim models on constructed document tasks.","slug":"visual-prompt-injection-crosses-document-trust-boundaries","hasDedicatedEvidence":true},{"title":"PII leakage in document-image redaction benchmarks","cveId":"1b9be65b","paperTitle":"LeakageBench: Document-Level Leakage Risk for Redacting Personally Identifiable Information in Document Images","paperUrl":"https://arxiv.org/abs/2609.02207","paperDate":"2026-09-02","analysisDate":"2026-09-09T16:00:45.299Z","tags":["application-layer","vision","multimodal","data-privacy","data-security","reliability"],"affectedModels":["GLiNER-base","GLiNER-multi-PII","NVIDIA GLiNER PII","GLiNER2","Qwen3-VL-32B","InternVL3 38B","GPT-5.4","GPT-5.5"],"description":"Document-image PII detection can miss identifiers despite improving average localization scores. LeakageBench evaluates 500 pages with 11,954 annotations.","slug":"pii-leakage-in-document-image-redaction-benchmarks","hasDedicatedEvidence":true},{"title":"Context privilege escalation in AI agent harnesses","cveId":"ea65671d","paperTitle":"What's in Your Agent's Context? Context Privilege Escalation Attacks against AI Agent Harness","paperUrl":"https://arxiv.org/abs/2609.01222","paperDate":"2026-09-01","analysisDate":"2026-09-09T16:01:21.448Z","tags":["application-layer","prompt-layer","injection","agent","coding-agent","integrity","data-security","memory","denial-of-service"],"affectedModels":["GPT-5.5","GPT-5.4-mini","Claude Sonnet 4.6","Claude Opus 4.6","Gemini 2.5 Flash","Gemini 2.5 Pro","DeepSeek V4 Flash"],"description":"Context assembly can promote repository, tool or skill content into higher-priority instructions or persistent state. The paper studies 12 pinned agent-harness versions.","slug":"context-privilege-escalation-in-ai-agent-harnesses","hasDedicatedEvidence":true},{"title":"Cross-user data isolation in shared GPU serving","cveId":"a843fd94","paperTitle":"Here is a GIFT: Enforcing User Data Isolation in LLM Serving via GPU Information Flow Tracking","paperUrl":"https://arxiv.org/abs/2608.25431","paperDate":"2026-08-26","analysisDate":"2026-09-09T16:00:06.751Z","tags":["infrastructure-layer","data-privacy","data-security"],"affectedModels":["Qwen 2.5 14B","Qwen 2.5 32B","Qwen 2.5 72B","OPT 13B","OPT 30B","OPT 66B"],"description":"A compromised serving framework can violate user-data isolation through shared GPU state. GIFT evaluates per-user information-flow enforcement in vLLM and DistServe.","slug":"cross-user-data-isolation-in-shared-gpu-serving","hasDedicatedEvidence":true},{"title":"Single-interaction poisoning of agent memory","cveId":"cdbb2cb9","paperTitle":"InjecMEM: Memory Injection Attack on LLM Agent Memory Systems","paperUrl":"https://arxiv.org/abs/2608.23471","paperDate":"2026-08-24","analysisDate":"2026-09-09T15:59:22.960Z","tags":["application-layer","prompt-layer","injection","poisoning","rag","agent","memory","integrity","safety","whitebox"],"affectedModels":["Qwen 2.5 7B Instruct","Qwen 2.5 1.5B Instruct","Qwen 2.5 3B Instruct","Qwen 2.5 14B Instruct","Llama 3.1 8B Instruct","Mistral 7B Instruct v0.3"],"description":"A stored interaction can later steer a memory-augmented agent's answer without direct memory-store access. The study evaluates persistent response manipulation in MemoryOS and MemGPT.","slug":"single-interaction-poisoning-of-agent-memory","hasDedicatedEvidence":true},{"title":"Poisoned agent skills amplify coding-agent token use","cveId":"bd2784f6","paperTitle":"SkillBloat: Token Amplification Attacks via Skill Injection in LLM Coding Agents","paperUrl":"https://arxiv.org/abs/2608.21929","paperDate":"2026-08-22","analysisDate":"2026-09-09T15:58:39.552Z","tags":["application-layer","injection","denial-of-service","agent","coding-agent","integrity","reliability"],"affectedModels":["GLM-4.7-Flash","GLM-5","GPT-5.4-mini","GPT-5.5"],"description":"Third-party skills can inflate coding-agent resource use while an otherwise legitimate task remains 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1.4B","Pythia 2.8B","Pythia 6.9B","Pythia 12B","GPT-NeoX 20B","OPT 1.3B","OPT 2.7B","OPT 6.7B","GPT-2","GPT-4o Realtime","Llama 3.1 70B Hanami X1","Aion 1.0","Sonar Pro","Llama 3.1 Nemotron Ultra 253B v1","Mercury","UI-TARS 1.5 7B","Jamba Mini 1.7","Hermes 4 70B","Step 3","LongCat Flash Chat","Tongyi DeepResearch 30B-A3B","Cydonia 24B v4.1","ERNIE 4.5 21B-A3B Thinking","Granite 4.0 H Micro","LFM2 8B-A1B","Nova Premier v1","KAT Coder Pro","Cogito v2.1 671B","TNG R1T Chimera","Intellect 3","DeepSeek V3.2 Speciale","Trinity Mini","Mistral Large 2512","DeepSeek V3.1 Nex N1","MiMo V2 Flash","Seed 1.6","Molmo 2 8B","GPT-5.2 Codex","MiniCPM4 0.5B","MiniCPM4 8B","Hunyuan 0.5B","Hunyuan 1.8B","Hunyuan 7B","openPangu-Embedded 1B","openPangu-Embedded 7B","GLM 4.5 Air","Grok 3 Mini","Mistral Medium 3.1","Qwen 3 30B-A3B Instruct","Qwen 3 Next 80B-A3B Instruct","Mantis-CLIP","Mantis-SIGLIP","Mantis-Idefics2","VILA 1.5","LLaVA 1.6","MiniGPT-4","HuatuoGPT-o1-7B","Llama 3.1 405B Instruct","Llama 4 Maverick 17B Instruct","OLMo 3 7B Instruct","OLMo 3 7B Think","DALL-E","Midjourney","Grok 2 Vision","GLM-4.1V Thinking","Baichuan 2 7B Chat","Llama 4 Maverick Instruct","Qwen-Max 2025-01-25","GPT-5.1 2025-11-13","GPT-4o 2024-11-20","Llama Guard 4 12B","WildGuard","FinBERT","FinGPT","FinLLaMA","o3 Pro","GPT-4o Mini High","Qwen 3.5 Plus","Vicuna 13B v1.5","GPT-5.2 Pro","GPT-5.2 Thinking","o3-preview","Gemini 3 Deep Think","Mistral Large 3","Ministral 3","Devstral 2","Qwen3-Coder","Mistral Medium 3","Qwen QwQ 32B","Magistral Medium","Mistral 7B 8B","HateBERT","HateRoBERTa","Llama Guard 3 1B","Qwen 3 Guard 4B","ShieldGemma 2B","GPT-4.1 2025-04-14","GPT-5 Chat 2025-10-03","Claude Haiku 4.5 20251001","Doubao 1.6 Thinking 250715","ChatGLM2 6B","GPT-2 124M","Llama 7B","Llama 13B","Llama 33B","LLaVA 7B","Qwen 2.5 VL 32B Instruct","Llama 3 LLaVA-NeXT 8B","InternVL3 78B","MiniCPM-o 2.6","Skywork-R1V3 38B","Doubao Seed 1.6","ERNIE 4.5 Turbo 128K Preview","Claude 3 Opus","Mistral 7B Instruct","LLaVA 1.6 Mistral 7B","Gemma 2 27B","Qwen 3 8B Instruct","Claude 3.7 Sonnet 20250219","Qwen 3 4B Base","Qwen 3 4B Thinking","Qwen 3 30B-A3B Base","Qwen 3 4B Think","Gemma 1.1 7B","Gemini 2.0 Flash-Lite","Qwen 3 1.7B FP8","Qwen 3 4B FP8","Qwen 3 8B FP8","Qwen 3 32B FP8","VideoLLAMA2","Qwen 2 7B Instruct","Whisper Large-v2","PANNs","Mistral Large","Seed 32B","Gemma 3n E4B","DeepSeek V3.2 Thinking","Qwen 3 Next 80B-A3B Thinking","o1-mini","Qwen 3 8B Thinking","Qwen 3 32B Thinking","Qwen 3 32B Instruct","Qwen3-VL 2B Instruct","InternVL3 8B Instruct","InternVL3 14B Instruct","InternVL3 38B Instruct","InternVL3.5 4B Instruct","InternVL3.5 8B Instruct","InternVL3.5 14B Instruct","LLaVA v1.6 Vicuna 7B","LLaVA v1.6 Vicuna 13B","LLaVA v1.6 34B","InternVL3 1B","LLaVA-OneVision 0.5B","LLaVA-OneVision 7B","Gemini 1.5 Pro Latest","Gemini 1.5 Pro 002","Gemini 1.5 Flash Latest","Claude 3.5 Sonnet Latest","Llama 3.2 90B Vision Instruct","Yi 1.5 9B Chat","Zephyr 7B Beta","StableLM 2 12B Chat","InternLM 2.5 7B Chat","Phi 3 Small 8k Instruct","Falcon-Mamba 7B Instruct","Kimi K2 Preview","Gemini 2.0 Pro","Cogito 2.1","Circuit Breaker","Gemma 2B","Llama Guard 3","Lumimaid 70B","MAI DS R1 671B","DeepSeek R1 0528 Qwen3 8B","DeepSeek R1 671B","Qwen 7B","Falcon 3 10B","Mistral Small 22B","GPT-4o 2024-08-06","Gemini 2.5 Flash Preview 04-17","LLaDA 8B Base","Phi 4 Mini","BERT","DeBERTa v3 Base","Llama Guard 2 8B","Qwen Max","RoBERTa","Transpec 13B","Nemotron Safety 8B","Granite Guardian 3.2 5B","Qwen3-VL Plus","DeepSeek-VL2","Qwen 2.5 0.5B Instruct","Ministral 8B Instruct 2410","Command R+","InternVL2.5 8B","Mistral Large 2","Step-Audio 2 Mini Base","MiniCPM-o 2.6 8B","Qwen3-Omni 30B-A3B Instruct","Kimi-Audio 7B Instruct","Baichuan 2 13B","Baichuan 2 7B","DeepSeek 7B","DeepSeek R1 Distill","Llama 2 70B","Llama Guard","Orca 2 7B","Qwen 14B","Qwen 32B","Qwen 72B","Solar 10.7B","Zephyr 7B","LLaVA 1.6 7B","Qwen-2.5-VL (7B)","GPT-4V","DeepResearcher 7B","Claude Sonnet 3.6","GPT-4.5","Grok 3 Beta","s1.1 7B","Nemotron Research Reasoning","Llama 3.2 90B Vision","Gemma 1.1 7B IT","Dolphin Mistral 24B Venice","Mistral Large 2.1","LISA 7B","LISA Explanatory 7B","LISA 13B","LISA Explanatory 13B","LISA++ 7B","GSVA 13B","GPT-4o Mini 2024-07-18","Llama 4 Scout 17B","OLMo 2 7B-1124","OLMo 2 13B-1124","OLMo 2 32B-0325","Grok 2","Mistral Nemo Instruct","WizardLM Uncensored","ShieldGemma 9B","ERNIE 4.5","Gemma 2 27B IT","Prompt Guard","ShieldGemma 2 27B","Gemini 2.0 Pro Exp 0205","Qwen VL Max","LLaVA-OneVision","Falcon 7B","GPT-2 Large","PromptGuard V2","Granite Guardian","Mistral Small","Nova Pro v1","Claude 3.7 Sonnet Thinking","Grok 3 Mini Beta","GLM 4 Plus","Doubao 1.5 Thinking Pro","ERNIE 4.0 Turbo","GPT-5 Chat Latest","Sea-Lion v2 Instruct","SeaLLM v3 7B Chat","Mistral Large 24B","BLIP-2","LLaVA-v2","Otter-Image","OpenFlamingo-v2","Dolphins","EmbodiedGPT","DistilBERT","DarkIdol Llama 3.1 8B Instruct","GLM 4 9B Chat","LongChat 7B","MiniGPT-v2","Qwen 2 5B","Yi Large","Nova Lite v1","Nova Micro v1","Claude 3 Sonnet","Claude 3.5 Sonnet 20240620","Claude 3.5 Sonnet 20241022","Granite 3.1 8B","Ministral 8B","Mistral Nemo","Mixtral 8x22B Instruct","Pixtral Large 2411","o1 2024-12-17","o3-mini 2025-01-14","Falcon 3 10B Instruct","Grok 2 1212","InternVL3 14B","Qwen 2.5 Omni 3B","Phi-4 Multimodal","Guanaco 7B","Gemini 2.0 Flash Thinking","IntentionReasoner 1.5B","IntentionReasoner 3B","Phi-3 3B","LLaVA v1.6 13B","Qwen 2.5 VL Max","QVQ-Plus","Qwen 2 2B","Qwen Plus Latest","Doubao Seed 1.6 Flash","Grok 3 Fast","Mistral Small 24B","Qwen 3 Coder 480B-A35B Instruct","GLM 9B","Hermes 3 Llama 3.1 405B","DREAM v0 Instruct 7B","LLaDA 1.5","LLaDA 8B Instruct","MMaDA 8B MixCoT","GPT-3","Gemini 2.0 Flash Preview Image Generation","Llama 4 16x17B","Devstral 24B","DeepSeek R1 Tool Calling 70B","InstructBLIP Vicuna 7B","MMaDA 8B Base","InternVL 2.5 78B","LLaVA 7B Chat","InternLM 2.5 20B","Llama 2 70B Chat","LLaVA OneVision Qwen2 72B","Pixtral 12B","Gemini 2.5 Flash Preview","DeepSeek Coder 33B","GPT-4o Preview 20240801","GPT-4o No-Safe Preview 20240801","o1 Preview 20240912","Qwen Coder Turbo 20240919","Qwen Max 20240919","Qwen Plus 20240919","Qwen Turbo 20240919","SparkDesk v4.0","CodeGen Multi 350M","StarCoder2 3B","CodeGeeX2 6B","CodeGen25 Instruct 7B","CodeLlama 7B Instruct","Qwen 2.5 Coder 7B Instruct","WizardCoder v1 15B","StarCoder 15.5B","DeepSeek Coder V2 Lite 16B","Qwen 2.5 Coder 32B Instruct","Wizard v1.1 33B","CodeLlama 70B Instruct","Mistral Large Instruct 2407 123B","DeepSeek Chat V2 236B","DeepSeek Coder V2 Instruct 0724 236B","BERT Base","HCX-002","HCX-003","HCX-DASH-002","Qwen Turbo","BLSP","FunAudioLLM","Ichigo","Llama Omni","LLaSM","Mini-Omni","Mini-Omni 2","Qwen 2 Audio","Qwen Audio","SALMONN","SpeechGPT","GLM","Evo1 7B","Evo2 1B","Evo2 7B","Evo2 40B","PathoLM","DALL-E 3","Flux Schnell","InternVL 2 2B","ShieldLM 7B","Beaver 7B v1.0 Cost","Falcon 7B Instruct","MPT 7B Chat","Falcon 3 3B Instruct","Qwen 2 1.5B Instruct","Phi 3 Mini","DiVA","GPT-4o Audio","Claude 1","Claude 2","ERNIE 3.5 Turbo","Qwen 3 Max Thinking","DeepSeek V3 0324","Qwen 1.8B","Yi 1.5 6B","mDeBERTa v3 Base","DIVA Llama 3 v0 8B","MERaLion AudioLLM","Ultravox","Gemini 1.0 Pro Vision","LLaVA 1.5","Phi-4 14B Instruct","Bunny 1.0 4B","Mplug-owl2","Code Llama 13B Instruct","DeepSeek Coder 7B","Vikhr Llama 3.2 1B Instruct","Phi-3.5 Mini","GigaChat-Max","Atla Selene Mini 8B","CLIP","Imagen","SDXL Turbo","Stable Diffusion v3.5","GLM 3 6B","Qwen 2 72B","Flux","Stable Diffusion XL","LLaVA Mistral","Qwen VL","InternLM XComposer","Phi 3.5 MoE","Aegis Defensive","Aegis Permissive","Llama Guard 2","Perspective","ShieldGemma 27B","Cygnet","o1-preview","R2D2","Vicuna 7B v1.3","Guanaco 13B","Claude 2.1","Qwen 14B Chat","LLaVA NeXT 8B","GLM 4 9B Chat HF","Gemma 1.1 2B","Qwen 2 72B Instruct","Phi-3.5 Vision Instruct","ChatGLM 6B","Gemini Exp 1206","Gemini Flash","Baichuan 2","Dolly 2","OPT","OpenChat 3.6 8B","Starling LM 7B","InternVL 2 4B","InternVL 2 26B","VLGuard","Granite 3.1 8B Instruct","Zephyr","E5 Base v2","Jina Embeddings v2","Nomic Embed","Sentence-T5 Base","Alpaca","M3E","MiniLM","Megatron 345M","Tiny Llama 1.1B","Barkplug V.2","Gemini-1.5-flash-001","Gemini-1.5-pro-001","Flan-t5 Large","Gemma 2B IT","Meta-llama-3-8B","Mistral-7B-v0.1","Mistral-8x7B-instruct-v0.1","Phi-3-mini-128k-instruct","Alpaca 7B","TimeGPT","Claude-v2","InternLM 2.5 7B","Qwen 1.5 110B","Yi 1.5 34B","Deepseek-vl7B-chat","Glm-4v-9B","GPT-4o-0513","Llava v1.5-7B","Llava v1.6-mistral-7B-hf","Yi-vl-34B","Mixtral-8x22B-instruct-v0.1","Palm-2-otter","Stable Diffusion v2.1","Baichuan-13B","Claude-3(v3-haiku)","ShieldLM","InternVL 2 40B","Qwen VL 2 72B","VILA 1.5 40B","Mistral-7B-instruct-0.2","Vicuna-7B-1.5","Phi 3 Medium 4k Instruct","Phi 3 Mini 4k Instruct","Qwen 2 0.5B","Qwen-2 (57B-a14B-instruct)","Chameleon","LLaVA 2","Inf-mllm1","GPT-4-1106-turbo","Llama 2 Chat","Deepseek-v2.5","Glm-4-flash","Qwen-max-latest","Llama 3 70B Chat","Llama-3-8B Chat","Mistral-large-2 123B","Chameleon 30B","Chameleon 7B","LLaVA 1.6 Llama 3","Vicuna7B-v0.3","Aquilachat-7B","Baichuan 2 13B Chat","Baichuan-7B","GPT-2 XL","Internlm2-chat-7B","Llama-2-13B-hf","Llama-2-7B-hf","Llava-v1.6-vicuna-7B-hf","Minitron-8B-base","Phi Mini","Qwen 1.5","GPT-J 6B","GPT-Neo 2.7B","RoBERTa Large","T5","Nvidia Dolphins Self-driving Llm","Llama Guard 7B","ChatGLM3 6B","Deepseek-coder","Gemma2-8B-instruct","Glm-4-air","Gemini 1.5 Flash (block None)","Gemini 1.5 Pro (block None)","ChatGLM4","FastChat-T5 3B","GPT-4 Turbo-2024-04-09","GPT-4o-2024-05-13","GPT-3.5 (GPT-3.5-turbo-0125)","GPT-4o Mini (GPT-4o-mini-2024-07-18)","Yi 1.5","Mdm","Mld","Sharegpt4v-13B","Stable Diffusion 3 Medium","Stable Diffusion Xl Refiner","Vicuna-1.5-13B","Cogview3","Dall-e 2","Hunyuan","Sdxl","Tongyiwanxiang","Clip-vit-base-patch32","GPT 3.5-turbo-instruct","Safegen","Sld","Stable Diffusion v1.5","Claude-3-haiku-0307","GPT-4-turbo-0409","Qwen-2-7B-chat","Code Llama 7B","Mistral-8x7B","WizardLM 13B","Mistral 7B v0.2","text-embedding-ada-002","Aya-23-8B","Cohere-35B","OpenChat 3.5","Phi-3-medium-28k-instruct","Smaug-llama-3-70B-instruct","Solar-10.7B-instruct-v1.0","TinyLlama 1.1","UltraLM 13B","Anthropic Claude-3-sonnet20240229","Llama2-7-billion","Openai GPT-3.5-turbo-0125","Openai GPT-4-0613","Vicuna-1.3 (7B)","FinanceChat 7B","LawChat 7B","Xinghuo-3.5","Falcon-40B-instruct","Llama2-chat-7B","Zephyr 7B R2D2","Starling-7B-alpha","Llama-3-70B-chat-hf","Qwen1.5-110B-chat","CheXagent","Med-Flamingo","RadFM","XrayGLM","Starcoder-1B","Starcoder-3B","Starcoder-7B","Tulu-2-13B","Internvlchat-v1.5","Omnilmm (12B)","Qwen-vl-chat (7B)","Claude 2.0","Llama-2-chat-70B","Llama 3-instruct 8B","Nemotron-4-340B","Pythia-12B-chat","GPT","PaLM 2","Gemini Ultra","Flan-T5 XXL","T5 Base","Vicuna 33B","Wizard Vicuna 13B","GPT-3.5-1106)","Llama-2-sys","Chatglm-2 (chatglm2-6B)","Chatglm-3 (chatglm3-6B)","Claude Instant 1.2","Gemini (gemini-pro)","GPT-3.5 (GPT-3.5-turbo-1106)","GPT-4 (GPT-4-1106-preview)","Llama-2 (llama2-7B-chat)","Alpaca 7B (Safe-RLHF)","Flan-T5 11B","Flan-T5 3B","Nous Hermes 2 Mixtral 8x7B DPO","GPT-4-1106","Codellama 34B Instruct","Gemini Vision Pro","Guanaco-7B-hf","Llama 2-13B-chat-hf","Vicuna-33B-v1.3","Wizard-lm-falcon-7B-uncensored","Wizardlm7B-uncensored","Claude 1.2 Instant","Claude 1.3","Internlm-20B","Sheared-llama-1.3B","StarChat 15B","WizardCoder 15B","WizardCoder 3B","GPT-NeoX","Llama 2-7B-chat-hf","Vicuna-13B Version 1.5","Chatglm-turbo","Midjourney v6","Spark v3.0","Codellama-13B-python","GPT-3.5-turbo-instruct-0914","Yi-34B","GPT-3 13B","Vicunav1.5 13B","Vicunav1.5 7B","GPT-3.5 Turbo-0301","MPT 7B Instruct","Vicuna 13B v1.3","WizardLM 7B v1.0","WizardLM 13B 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