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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

Let it Cook: Learning to Wait in Sequential Decision Making

Christopher Watson, Arjun Krishna, Dinesh Jayaraman +1

In sequential decision making, an agent typically observes its environment and acts at every timestep. However, such active participation may not always be necessary; tasks such as…

cs.IR2026

Bridge Evidence: Static Retrieval Utility Does Not Predict Causal Utility in Multi-Step Agentic Search

Debayan Mukhopadhyay, Utshab Kumar Ghosh, Shubham Chatterjee

The paper shows that static measures of document usefulness do not predict how useful those documents are for multi-step search agents, introducing a counterfactual evaluation meth…

cs.IR2026

Entity Labels Are Not Entity Signals: A Framework for Observable Relevance in Document Re-Ranking

Utshab Kumar Ghosh, Shubham Chatterjee

Entity-aware document retrieval uses query-associated entities as ranking signals, assuming that semantically relevant entities are also useful retrieval signals. We show this assu…

cs.IR2026

Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions

Utshab Kumar Ghosh, Ashish David, Shubham Chatterjee

Reproducibility must validate architectural robustness, not just numerical accuracy. We evaluate ColBERT-v2 and ConstBERT across five dimensions, finding that while ConstBERT repro…

cs.IR2026

Single-Turn LLM Reformulation Powered Multi-Stage Hybrid Re-Ranking for Tip-of-the-Tongue Known-Item Retrieval

Debayan Mukhopadhyay, Utshab Kumar Ghosh, Shubham Chatterjee

Retrieving known items from vague descriptions, Tip-of-the-Tongue (ToT) retrieval, remains a significant challenge. We propose using a single call to a generic 8B-parameter LLM for…