· ai
Production-Ready LLMs Made Simple with the NeMo Agent Toolkit
From simple chat to multi-agent reasoning and real-time REST APIs The post Production-Ready LLMs Made Simple with the NeMo Agent Toolkit appeared first on Towar...
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- · ai
[Paper] Training AI Co-Scientists Using Rubric Rewards
AI co-scientists are emerging as a tool to assist human researchers in achieving their research goals. A crucial feature of these AI co-scientists is the abilit...
- · ai
[Paper] Eliciting Behaviors in Multi-Turn Conversations
Identifying specific and often complex behaviors from large language models (LLMs) in conversational settings is crucial for their evaluation. Recent work propo...
- · ai
[Paper] Fine-Tuning LLMs with Fine-Grained Human Feedback on Text Spans
We present a method and dataset for fine-tuning language models with preference supervision using feedback-driven improvement chains. Given a model response, an...
- · ai
[Paper] PROFASR-BENCH: A Benchmark for Context-Conditioned ASR in High-Stakes Professional Speech
Automatic Speech Recognition (ASR) in professional settings faces challenges that existing benchmarks underplay: dense domain terminology, formal register varia...
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[Paper] Multilingual Hidden Prompt Injection Attacks on LLM-Based Academic Reviewing
Large language models (LLMs) are increasingly considered for use in high-impact workflows, including academic peer review. However, LLMs are vulnerable to docum...
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[Paper] Web World Models
Language agents increasingly require persistent worlds in which they can act, remember, and learn. Existing approaches sit at two extremes: conventional web fra...
- · ai
[Paper] Less is more: Probabilistic reduction is best explained by small-scale predictability measures
The primary research questions of this paper center on defining the amount of context that is necessary and/or appropriate when investigating the relationship b...
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[Paper] Nested Browser-Use Learning for Agentic Information Seeking
Information-seeking (IS) agents have achieved strong performance across a range of wide and deep search tasks, yet their tool use remains largely restricted to ...
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[Paper] A Dataset and Benchmark for Consumer Healthcare Question Summarization
The quest for seeking health information has swamped the web with consumers health-related questions. Generally, consumers use overly descriptive and peripheral...
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[Paper] Close the Loop: Synthesizing Infinite Tool-Use Data via Multi-Agent Role-Playing
Enabling Large Language Models (LLMs) to reliably invoke external tools remains a critical bottleneck for autonomous agents. Existing approaches suffer from thr...
- · ai
[Paper] CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations
Large Language Model (LLM) agents, while proficient in the digital realm, face a significant gap in physical-world deployment due to the challenge of forming an...