Tao Zhang
Tao Zhang has 8 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Speech & spoken language; often with Mingan Lin, Tianpeng Li, Guosheng Dong.
OpenAlex · ORCID · h-index 49 · 526 works · 9,665 citations OpenAlex, 2026-10-14
📄 8 works in our library · 🔗 Cited 130 times in our library · ⭐ Paper Stars ranking: #6389
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 8 worksComputer Science · 8 worksArtificial Intelligence · 8 worksLanguage and Linguistics · 8 worksComputer Vision and Pattern Recognition · 3 worksPsychology · 1 workSignal Processing · 1 workExperimental and Cognitive Psychology · 1 work
🧭 Topics 8Research subjects and languages the work is about.Language models & pretraining · 3 worksSpeech & spoken language · 1 workReasoning · 2 worksInformation retrieval & search · 1 workEvaluation & benchmarks · 1 workVision & language · 1 workEfficient models & compression · 1 workBias, fairness & safety · 1 work
Works by year
2020s
Papers
- RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement (2025 · 31 citations)
Large language models often fail on multi-hop questions that require chaining several facts. Tree-search methods such as MCTS help with deliberative reasoning but rely only on the model's internal knowledge. Standard RAG feeds documents straight into generation, which can cause conflicts between retrieved and… - CFBench: A Comprehensive Constraints-Following Benchmark for LLMs (2025 · 30 citations)
CFBench tackles a gap in how LLMs are tested on following instructions that carry many explicit constraints. - Baichuan-Omni-1.5 Technical Report (2025 · 28 citations)
Open-source multimodal LLMs mostly pair vision with text. Voice support usually relies on separate ASR and TTS modules, which add latency. End-to-end omni models such as VITA-1.5 and Mini-Omni2 often lose quality when modalities compete, especially on text-only tasks. Baichuan-Omni-1.5 is a single 7B-scale model that… - Baichuan-Omni Technical Report (2024 · 18 citations)
GPT-4o showed what a single model handling several input types can do, but the open-source community had no comparable system. - Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction (2025 · 16 citations)
Cascaded voice assistants chain ASR, an LLM and TTS. This adds latency, compounds errors and discards paralinguistic cues. End-to-end alternatives such as Moshi and GLM-4-Voice tend to lose reasoning ability once speech is added. Baichuan-Audio is a 7B end-to-end audio LLM for real-time bilingual (Chinese/English)… - MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning (2026 · 5 citations)
Reasoning-oriented LLMs produce very long Chain-of-Thought outputs, so their KV cache consumes large amounts of GPU memory and bandwidth. - Baichuan Alignment Technical Report (2024 · 5 citations)
Alignment methods for large language models are usually kept proprietary or described only in fragments. This technical report from Baichuan Inc. and Peking University sets out the full alignment pipeline behind the Baichuan models. The pipeline has three stages. A Prompt Augmentation System (PAS) automatically… - From Narrow Unlearning to Emergent Misalignment in LLMs (2026)
Earlier work found that fine-tuning an aligned LLM on a narrow task, such as writing insecure code, can cause emergent misalignment (EMA): harmful behaviour that spreads to unrelated domains.
Co-authors here
- Mingan Lin ×4
- Tianpeng Li ×4
- Guosheng Dong ×3
- Haoze Sun ×3
- Da Pan ×2
- Fan Yang ×2
- Jun Liu ×2
- Song Chen ×2
- Xu Li ×2
- Yadong Li ×2
- Yanjun Shen ×2
- Zehuan Li ×2
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026 ×2, ACL 2025
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
Cited by
Updated
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