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Natural Language Processing
Language understanding and generation — covering classical NLP tasks, language models, dialogue systems, machine translation, and text processing at large.
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$Φ$-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them?
Agents · Sep 9
0
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness
Agents · Sep 8
0
Revisiting Complete Reasoning Traces for Post-Training
LLM Training · Sep 7
0
DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents
Agents · Sep 6
0
Steering Geometry: Validating Human Value Geometry in LLM Steering Space
Alignment · Sep 5
0
Enoki: Efficient Multi-Level Hallucination Detection
Evaluation · Sep 4
0
Knowing What Not to Answer: Selective Non-Compliance in Vision-Language Models
Alignment · Sep 4
0
Refuse without Refusal: A Structural Analysis of Safety-Tuning Responses for Reducing False Refusals in Language Models
Alignment · Sep 4
0
Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs
Mechanistic Interpretability · Sep 4
0
PACE: Towards Surfacing Hidden Conflicts in User Requests
Evaluation · Sep 3
0